Tokushima University / Educator and Researcher Directory --- Yamakawa, Makoto

Personal Web Page

https://researchmap.jp/read0062274 (researchmap)

https://orcid.org/0000-0002-4932-2719 (ORCID)

Field of Study

○	Biomedical Engineering

Subject of Study

○	Ultrasound tissue elasticity imaging, Medical photoacoustic imaging, Computer-aided diagnosis of ultrasound images using deep learning

Book / Paper

(See https://researchmap.jp/read0062274 (researchmap) for Published Book / Papers / Presentations.)

Book:

1.	清水昭伸, 椎名毅, 工藤正俊 and Makoto Yamakawa : 医療AIとディープラーニングシリーズ超音波画像AI診断, Ohmsha, Ltd., Sep. 2021.
2.	日本音響学会 and Makoto Yamakawa : 音響キーワードブック, CORONA PUBLISHING CO.,LTD, Mar. 2016.
3.	石田隆行, 桂川茂彦 and Makoto Yamakawa : 医用画像ハンドブック, Ohmsha, Ltd., Dec. 2010.

Academic Paper (Judged Full Paper):

1.	Misaki Nishiyama, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Systematic evaluation of model-based learning for cost-effective 3-D photoacoustic imaging with sparse 2-D matrix arrays, Optical Review, 33, 2, 277-290, 2026. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10043-026-01048-4 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-105038158726 (DOI: 10.1007/s10043-026-01048-4, Elsevier: Scopus)
2.	Makoto Yamakawa, Tsuyoshi Shiina, Toshikazu Ito, Sadako-Tanaka Akashi, Kouzou Murakami, Takanori Watanabe, Hirotaka Morishima, Koichiro Tsugawa, Takayoshi Uematsu, Naoshi Nishida and Masatoshi Kudo : Comparison of breast ultrasound image classification accuracy between convolutional neural networks and human experts using multicenter external validation cohort data, Journal of Medical Ultrasonics, 53, 3, 1-16, 2026. (Summary) In recent years, much research has been conducted on ultrasound diagnosis of breast tumors using convolutional neural networks (CNNs). While many CNNs for breast tumor classification have been investigated, previous studies have evaluated them using data from the same institution that provided the CNN training data. This may have biased the accuracy of the CNNs. To perform a fairer evaluation, we compared the accuracy of CNNs with that of human experts using a multicenter external validation cohort. Additionally, previous studies used fewer than about 2000 images to train CNNs, whereas this study used 16,530 images. We trained a 2-class (benign, malignant) classification CNN and a 4-class (breast cancer, fibroadenoma, simple cyst, and other benign tumors) classification CNN using 16,530 images. Using data from a multicenter external validation cohort, we compared the classification accuracy of the developed CNNs to that of human experts. The 2-class classification CNN achieved an accuracy of 88.1%. The benign/malignant classification from the 4-class classification CNN achieved an accuracy of 86.3%. Human experts achieved an accuracy of 83.2%. Thus, the 2-class classification CNN was slightly more accurate than the benign/malignant classification from the 4-class classification CNN. Both developed CNNs were more accurate than human experts. The CNNs developed using a large-scale breast ultrasound image database achieved higher accuracy than that of human experts in evaluation using multicenter external validation cohort data. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-026-01631-x (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 41886212 ● Search Scopus @ Elsevier (PMID): 41886212 ● Search Scopus @ Elsevier (DOI): 10.1007/s10396-026-01631-x (DOI: 10.1007/s10396-026-01631-x, PubMed: 41886212)
3.	Makoto Yamakawa and 椎名毅 : Artifact reduction in photoacoustic images by generating virtual dense array sensor from hemispheric sparse array sensor using deep learning, Japanese Journal of Medical Ultrasonics, 53, 2, 57-72, 2026. (Summary) Purpose: Vascular distribution is important information for diagnosing diseases and supporting surgery. Photoacoustic imaging is a technology that can image blood vessels noninvasively and with high resolution. In photoacoustic imaging, a hemispherical array sensor is especially suitable for measuring blood vessels running in various directions. However, as a hemispherical array sensor, a sparse array sensor is often used due to technical and cost issues, which causes artifacts in photoacoustic images. Therefore, in this study, we reduce these artifacts by using deep learning technology to generate signals of virtual dense array sensors. Methods: Generating 2D virtual array sensor signals using a 3D convolutional neural network (CNN) requires huge computational costs and is impractical. Therefore, we installed virtual sensors between the real sensors along the spiral pattern in three different directions and used a 2D CNN to generate signals of the virtual sensors in each direction. Then, we reconstructed a photoacoustic image using the signals from both the real sensors and the virtual sensors. Results: We evaluated the proposed method using simulation data and human palm measurement data. We found that these artifacts were significantly reduced in the images reconstructed using the proposed method, while the artifacts were strong in the images obtained only from the real sensor signals. Conclusion: Using the proposed method, we were able to significantly reduce artifacts, and as a result, it became possible to recognize deep blood vessels. In addition, the processing time of the proposed method was sufficiently applicable to clinical measurement. (Keyword) Photoacoustic imaging / Sparse array sensor / Hemispherical array sensor / Deep learning / Artifact reduction (Link to Publication Site) ● Publication site (DOI): 10.3179/jjmu.jjmu.k.40 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390026048807214976 ● Search Scopus @ Elsevier (DOI): 10.3179/jjmu.jjmu.k.40 (DOI: 10.3179/jjmu.jjmu.k.40, CiNii: 1390026048807214976)
4.	Daisuke Hatamoto, Makoto Yamakawa and Tsuyoshi Shiina : Improving ultrasound image classification accuracy of liver tumors using deep learning model with hepatitis virus infection information, Journal of Medical Ultrasonics, 52, 3, 283-291, 2025. (Summary) In recent years, computer-aided diagnosis (CAD) using deep learning methods for medical images has been studied. Although studies have been conducted to classify ultrasound images of tumors of the liver into four categories (liver cysts (Cyst), liver hemangiomas (Hemangioma), hepatocellular carcinoma (HCC), and metastatic liver cancer (Meta)), no studies with additional information for deep learning have been reported. Therefore, we attempted to improve the classification accuracy of ultrasound images of hepatic tumors by adding hepatitis virus infection information to deep learning. Four combinations of hepatitis virus infection information were assigned to each image, plus or minus HBs antigen and plus or minus HCV antibody, and the classification accuracy was compared before and after the information was input and weighted to fully connected layers. With the addition of hepatitis virus infection information, accuracy changed from 0.574 to 0.643. The F1-Score for Cyst, Hemangioma, HCC, and Meta changed from 0.87 to 0.88, 0.55 to 0.57, 0.46 to 0.59, and 0.54 to 0.62, respectively, remaining the same for Hemangioma but increasing for the rest. Learning hepatitis virus infection information showed the highest increase in the F1-Score for HCC, resulting in improved classification accuracy of ultrasound images of hepatic tumors. (Keyword) Humans / Liver Neoplasms / Ultrasonography / Deep Learning / Carcinoma, Hepatocellular / Hemangioma / Image Interpretation, Computer-Assisted / Liver / Male / Hepatitis, Viral, Human (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-025-01528-1 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 40205118 ● Search Scopus @ Elsevier (PMID): 40205118 ● Search Scopus @ Elsevier (DOI): 10.1007/s10396-025-01528-1 (DOI: 10.1007/s10396-025-01528-1, PubMed: 40205118)
5.	Makoto Yamakawa, Tsuyoshi Shiina, Naoshi Nishida and Masatoshi Kudo : Study on the optimal ROI cropping condition for each liver tumor type to improve the sensitivity of convolutional neural network for liver tumor ultrasound image classification, Japanese Journal of Applied Physics, 64, 3, 03SP24-1-03SP24-11, 2025. (Link to Publication Site) ● Publication site (DOI): 10.35848/1347-4065/adb6b4 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-86000733350 (DOI: 10.35848/1347-4065/adb6b4, Elsevier: Scopus)
6.	Makoto Yamakawa and Tsuyoshi Shiina : Artifact reduction in photoacoustic images by generating virtual dense array sensor from hemispheric sparse array sensor using deep learning, Journal of Medical Ultrasonics, 51, 2, 169-183, 2024. (Summary) Vascular distribution is important information for diagnosing diseases and supporting surgery. Photoacoustic imaging is a technology that can image blood vessels noninvasively and with high resolution. In photoacoustic imaging, a hemispherical array sensor is especially suitable for measuring blood vessels running in various directions. However, as a hemispherical array sensor, a sparse array sensor is often used due to technical and cost issues, which causes artifacts in photoacoustic images. Therefore, in this study, we reduce these artifacts using deep learning technology to generate signals of virtual dense array sensors. Generating 2D virtual array sensor signals using a 3D convolutional neural network (CNN) requires huge computational costs and is impractical. Therefore, we installed virtual sensors between the real sensors along the spiral pattern in three different directions and used a 2D CNN to generate signals of the virtual sensors in each direction. Then we reconstructed a photoacoustic image using the signals from both the real sensors and the virtual sensors. We evaluated the proposed method using simulation data and human palm measurement data. We found that these artifacts were significantly reduced in the images reconstructed using the proposed method, while the artifacts were strong in the images obtained only from the real sensor signals. Using the proposed method, we were able to significantly reduce artifacts, and as a result, it became possible to recognize deep blood vessels. In addition, the processing time of the proposed method was sufficiently applicable to clinical measurement. (Keyword) Deep Learning / Photoacoustic Techniques / Artifacts / Humans / Image Processing, Computer-Assisted / Hand (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-024-01413-3 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 38480548 ● Search Scopus @ Elsevier (PMID): 38480548 ● Search Scopus @ Elsevier (DOI): 10.1007/s10396-024-01413-3 (DOI: 10.1007/s10396-024-01413-3, PubMed: 38480548)
7.	Taisei Tosaki, Makoto Yamakawa and Tsuyoshi Shiina : A study on the optimal condition of ground truth area for liver tumor detection in ultrasound images using deep learning, Journal of Medical Ultrasonics, 50, 2, 167-176, 2023. (Summary) In recent years, efforts to apply artificial intelligence (AI) to the medical field have been growing. In general, a vast amount of high-quality training data is necessary to make great AI. For tumor detection AI, annotation quality is important. In diagnosis and detection of tumors using ultrasound images, humans use not only the tumor area but also the surrounding information, such as the back echo of the tumor. Therefore, we investigated changes in detection accuracy when changing the size of the region of interest (ROI, ground truth area) relative to liver tumors in the training data for the detection AI. We defined D/L as the ratio of the maximum diameter (D) of the liver tumor to the ROI size (L). We created training data by changing the D/L value, and performed learning and testing with YOLOv3. Our results showed that the detection accuracy was highest when the training data were created with a D/L ratio between 0.8 and 1.0. In other words, it was found that the detection accuracy was improved by setting the ground true bounding box for detection AI training to be in contact with the tumor or slightly larger. We also found that when the D/L ratio was distributed in the training data, the wider the distribution, the lower the detection accuracy. Therefore, we recommend that the detector be trained with the D/L value close to a certain value between 0.8 and 1.0 for liver tumor detection from ultrasound images. (Keyword) Humans / Artificial Intelligence / Deep Learning / Liver Neoplasms / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-023-01301-2 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 37014524 ● Search Scopus @ Elsevier (PMID): 37014524 ● Search Scopus @ Elsevier (DOI): 10.1007/s10396-023-01301-2 (DOI: 10.1007/s10396-023-01301-2, PubMed: 37014524)
8.	新田尚隆, Makoto Yamakawa, 蜂屋弘之 and 椎名毅 : A review of physical and engineering factors potentially affecting shear wave elastography, Japanese Journal of Medical Ultrasonics, 49, 6, 489-501, 2022. (Summary) <p>It has been recognized that tissue stiffness provides useful diagnostic information, as with palpation as a screening for diseases such as cancer. In recent years, shear wave elastography (SWE), a technique for evaluating and imaging tissue elasticity quantitatively and objectively in diagnostic imaging, has been put into practical use, and the amount of clinical knowledge about SWE has increased. In addition, some guidelines and review papers regarding technology and clinical applications have been published, and the status as a diagnostic technology is in the process of being established. However, there are still unclear points about the interpretation of shear wave speed (SWS) and converted elastic modulus in SWE. To clarify these, it is important to investigate the factors that affect the SWS and elastic modulus. Therefore, physical and engineering factors that potentially affect the SWS and elastic modulus are discussed in this review paper, based on the principles of SWE and a literature review. The physical factors include the propagation properties of shear waves, mechanical properties (viscoelasticity, nonlinearity, and anisotropy), and size and shape of target tissues. The engineering factors include the region of interest depth and signal processing. The aim of this review paper is not to provide an answer to the interpretation of SWS. It is to provide information for readers to formulate and verify the hypothesis for the interpretation. Therefore, methods to verify the hypothesis for the interpretation are also reviewed. Finally, studies on the safety of SWE are discussed.</p> (Keyword) shear wave elastography / shear wave speed / interpretation / physical factors / engineering factors (Link to Publication Site) ● Publication site (DOI): 10.3179/jjmu.jjmu.r.209 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390012578706747520 ● Search Scopus @ Elsevier (DOI): 10.3179/jjmu.jjmu.r.209 (DOI: 10.3179/jjmu.jjmu.r.209, CiNii: 1390012578706747520)
9.	Naoshi Nishida, Makoto Yamakawa, Tsuyoshi Shiina, Yoshito Mekada, Mutsumi Nishida, Naoya Sakamoto, Takashi Nishimura, Hiroko Iijima, Toshiko Hirai, Ken Takahashi, Masaya Sato, Ryosuke Tateishi, Masahiro Ogawa, Hideaki Mori, Masayuki Kitano, Hidenori Toyoda, Chikara Ogawa and Masatoshi Kudo : Artificial intelligence (AI) models for the ultrasonographic diagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts, Journal of Gastroenterology, 57, 4, 309-321, 2022. (Summary) Ultrasonography (US) is widely used for the diagnosis of liver tumors. However, the accuracy of the diagnosis largely depends on the visual perception of humans. Hence, we aimed to construct artificial intelligence (AI) models for the diagnosis of liver tumors in US. We constructed three AI models based on still B-mode images: model-1 using 24,675 images, model-2 using 57,145 images, and model-3 using 70,950 images. A convolutional neural network was used to train the US images. The four-class liver tumor discrimination by AI, namely, cysts, hemangiomas, hepatocellular carcinoma, and metastatic tumors, was examined. The accuracy of the AI diagnosis was evaluated using tenfold cross-validation. The diagnostic performances of the AI models and human experts were also compared using an independent test cohort of video images. The diagnostic accuracies of model-1, model-2, and model-3 in the four tumor types are 86.8%, 91.0%, and 91.1%, whereas those for malignant tumor are 91.3%, 94.3%, and 94.3%, respectively. In the independent comparison of the AIs and physicians, the percentages of correct diagnoses (accuracies) by the AIs are 80.0%, 81.8%, and 89.1% in model-1, model-2, and model-3, respectively. Meanwhile, the median percentages of correct diagnoses are 67.3% (range 63.6%-69.1%) and 47.3% (45.5%-47.3%) by human experts and non-experts, respectively. The performance of the AI models surpassed that of human experts in the four-class discrimination and benign and malignant discrimination of liver tumors. Thus, the AI models can help prevent human errors in US diagnosis. (Keyword) Artificial Intelligence / Humans / Liver Neoplasms / Neural Networks, Computer / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1007/s00535-022-01849-9 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 35220490 ● Search Scopus @ Elsevier (PMID): 35220490 ● Search Scopus @ Elsevier (DOI): 10.1007/s00535-022-01849-9 (DOI: 10.1007/s00535-022-01849-9, PubMed: 35220490)
10.	Riwa Kishimoto, Mikio Suga, Masashi Usumura, Hiroko Iijima, Masahiro Yoshida, Hiroyuki Hachiya, Tsuyoshi Shiina, Makoto Yamakawa, Kei Konno, Takayuki Obata and Tadashi Yamaguchi : Shear wave speed measurement bias in a viscoelastic phantom across six ultrasound elastography systems: a comparative study with transient elastography and magnetic resonance elastography, Journal of Medical Ultrasonics, 49, 2, 143-152, 2022. (Summary) To quantify the bias of shear wave speed (SWS) measurements in a viscoelastic phantom across six different ultrasound (US) systems and to compare the SWS with those from transient elastography (TE) and magnetic resonance elastography (MRE). A viscoelastic phantom of stiffness representing fibrotic liver or healthy thyroid was measured with nine (linear probe) and 10 (convex probe) modes of six different US-based shear wave elastography (SWE) systems using linear and convex probes. SWS measurements of three regions of interest were repeated thrice at two focal depths, coupling the probe to the phantom using a jig. An MRE system using three motion-encoding gradient frequencies of 60, 90, and 120 Hz and TE were also used to measure the stiffness of the phantom. The SWS from different SWE systems had mean coefficients of variation of 9.0-9.2% and 5.4-5.6% with linear and convex probes, respectively, in viscoelastic phantom measurement. The focal depth was a less significant source of SWS variability than the system. The total average SWS obtained with US-SWE systems was 19.9% higher than that obtained with MRE at 60 Hz, which is commonly used in clinical practice, and 31.5% higher than that obtained with TE using the M probe. Despite the measurement biases associated with the SWE systems, biases were not necessarily consistent, and they changed with the probes used and depth measured. The SWS of the viscoelastic phantom obtained using different modalities increased according to the shear wave frequency used. (Keyword) Bias / Elasticity Imaging Techniques / Humans / Liver / Liver Cirrhosis / Phantoms, Imaging / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-022-01190-x (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 35061118 ● Search Scopus @ Elsevier (PMID): 35061118 ● Search Scopus @ Elsevier (DOI): 10.1007/s10396-022-01190-x (DOI: 10.1007/s10396-022-01190-x, PubMed: 35061118)
11.	Naotaka Nitta, Makoto Yamakawa, Hiroyuki Hachiya and Tsuyoshi Shiina : A review of physical and engineering factors potentially affecting shear wave elastography, Journal of Medical Ultrasonics, 48, 4, 403-414, 2021. (Summary) It has been recognized that tissue stiffness provides useful diagnostic information, as with palpation as a screening for diseases such as cancer. In recent years, shear wave elastography (SWE), a technique for evaluating and imaging tissue elasticity quantitatively and objectively in diagnostic imaging, has been put into practical use, and the amount of clinical knowledge about SWE has increased. In addition, some guidelines and review papers regarding technology and clinical applications have been published, and the status as a diagnostic technology is in the process of being established. However, there are still unclear points about the interpretation of shear wave speed (SWS) and converted elastic modulus in SWE. To clarify these, it is important to investigate the factors that affect the SWS and elastic modulus. Therefore, physical and engineering factors that potentially affect the SWS and elastic modulus are discussed in this review paper, based on the principles of SWE and a literature review. The physical factors include the propagation properties of shear waves, mechanical properties (viscoelasticity, nonlinearity, and anisotropy), and size and shape of target tissues. The engineering factors include the region of interest depth and signal processing. The aim of this review paper is not to provide an answer to the interpretation of SWS. It is to provide information for readers to formulate and verify the hypothesis for the interpretation. Therefore, methods to verify the hypothesis for the interpretation are also reviewed. Finally, studies on the safety of SWE are discussed. (Keyword) Elastic Modulus / Elasticity Imaging Techniques / Humans (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-021-01127-w (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 34453649 ● Summary page in Scopus @ Elsevier: 2-s2.0-85113744081 ● Summary page in Scopus @ Elsevier: 2-s2.0-85117343659 (DOI: 10.1007/s10396-021-01127-w, PubMed: 34453649, Elsevier: Scopus, Elsevier: Scopus)
12.	Makoto Yamakawa, Tsuyoshi Shiina, Naoshi Nishida and Masatoshi Kudo : Optimal cropping for input images used in a convolutional neural network for ultrasonic diagnosis of liver tumors, Japanese Journal of Applied Physics, 59, SK, SKKE09-1-SKKE09-7, 2020. (Link to Publication Site) ● Publication site (DOI): 10.35848/1347-4065/ab80dd (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85084171559 (DOI: 10.35848/1347-4065/ab80dd, Elsevier: Scopus)
13.	Misaki Nishiyama, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Ring-array photoacoustic tomography for imaging human finger vasculature, Journal of Biomedical Optics, 24, 9, 096005-1-096005-12, 2019. (Summary) For early diagnosis of rheumatoid arthritis (RA), it is important to visualize its potential marker, vascularization in the synovial membrane of the finger joints. Photoacoustic (PA) imaging, which can image blood vessels at high contrast and resolution, is expected to be a potential modality for earlier diagnosis of RA. In previous studies of PA finger imaging, different acoustic schemes, such as linear-shaped arrays, have been utilized, but these have limited detection views, rendering inaccurate reconstruction, and most of them require rotational detection. We are developing a PA system for finger vascular imaging using a ring-shaped array ultrasound (US) transducer. By designing the ring-array sensor based on simulations, using phantom experiments, it was demonstrated that we have created a system that can image small objects around 0.1 to 0.5 mm in diameter. The full width at half maximum of the slice direction of the system was within 2 mm and corresponded to that of the simulation. Moreover, we could clearly visualize healthy index finger vasculature and the location of the distal interphalangeal and proximal interphalangeal joints by PA and US echo images. In the future, this system could be used as a method for visualizing the three-dimensional vascularization of RA patients' fingers. (Keyword) Arthritis, Rheumatoid / Equipment Design / Fingers / Humans / Image Interpretation, Computer-Assisted / Imaging, Three-Dimensional / Phantoms, Imaging / Photoacoustic Techniques / Transducers (Link to Publication Site) ● Publication site (DOI): 10.1117/1.JBO.24.9.096005 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 31535539 ● Search Scopus @ Elsevier (PMID): 31535539 ● Search Scopus @ Elsevier (DOI): 10.1117/1.JBO.24.9.096005 (DOI: 10.1117/1.JBO.24.9.096005, PubMed: 31535539)
14.	Shiori Fujii, Makoto Yamakawa, Kengo Kondo, Takeshi Namita and Tsuyoshi Shiina : Evaluation of shear wave dispersion in hepatic viscoelastic models including fibrous structure, Japanese Journal of Applied Physics, 58, SG, SGGE07-1-SGGE07-8, 2019. (Link to Publication Site) ● Publication site (DOI): 10.7567/1347-4065/ab1a2c (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85072947493 (DOI: 10.7567/1347-4065/ab1a2c, Elsevier: Scopus)
15.	Naoshi Nishida, Makoto Yamakawa, Tsuyoshi Shiina and Masatoshi Kudo : Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology, Hepatology International, 13, 4, 416-421, 2019. (Summary) An ultrasound (US) examination is a common noninvasive technique widely applied for diagnosis of a variety of diseases. Based on the rapid development of US equipment, many US images have been accumulated and are now available and ready for the preparation of a database for the development of computer-aided US diagnosis with deep learning technology. On the contrary, because of the unique characteristics of the US image, there could be some issues that need to be resolved for the establishment of computer-aided diagnosis (CAD) system in this field. For example, compared to the other modalities, the quality of a US image is, currently, highly operator dependent; the conditions of examination should also directly affect the quality of US images. So far, these factors have hampered the application of deep learning-based technology in the field of US diagnosis. However, the development of CAD and US technologies will contribute to an increase in diagnostic quality, facilitate the development of remote medicine, and reduce the costs in the national health care through the early diagnosis of diseases. From this point of view, it may have a large enough potential to induce a paradigm shift in the field of US imaging and diagnosis of liver diseases. (Keyword) Deep Learning / Diagnosis, Computer-Assisted / Forecasting / Humans / Liver Diseases / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1007/s12072-019-09937-4 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 30790230 ● Search Scopus @ Elsevier (PMID): 30790230 ● Search Scopus @ Elsevier (DOI): 10.1007/s12072-019-09937-4 (DOI: 10.1007/s12072-019-09937-4, PubMed: 30790230)
16.	Tomoaki Kitazaki, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Shear wavelength estimation based on inverse filtering and multiple-point shear wave generation, Japanese Journal of Applied Physics, 55, 7S1, 07KF10-1-07KF10-6, 2016. (Link to Publication Site) ● Publication site (DOI): 10.7567/JJAP.55.07KF10 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84978762927 (DOI: 10.7567/JJAP.55.07KF10, Elsevier: Scopus)
17.	Jun-keun Jang, Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Study on the application of shear-wave elastography to thin-layered media and tubular structure: Finite-element analysis and experiment verification, Japanese Journal of Applied Physics, 55, 7S1, 07KF08-1-07KF08-8, 2016. (Link to Publication Site) ● Publication site (DOI): 10.7567/JJAP.55.07KF08 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84978759607 (DOI: 10.7567/JJAP.55.07KF08, Elsevier: Scopus)
18.	Haichong K Zhang, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Coded excitation using periodic and unipolar M-sequences for photoacoustic imaging and flow measurement, Optics Express, 24, 1, 17-29, 2016. (Link to Publication Site) ● Publication site (DOI): 10.1364/OE.24.000017 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84962050682 (DOI: 10.1364/OE.24.000017, Elsevier: Scopus)
19.	Bing Cong, Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Photoacoustic image quality enhancement by estimating mean sound speed based on optimum focusing, Japanese Journal of Applied Physics, 54, 7S1, 07HC13-1-07HC13-11, 2015. (Link to Publication Site) ● Publication site (DOI): 10.7567/JJAP.54.07HC13 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.7567/JJAP.54.07HC13 (DOI: 10.7567/JJAP.54.07HC13)
20.	Hirofumi Taki, Kousuke Taki, Makoto Yamakawa, Tsuyoshi Shiina, Motoi Kudo and Toru Sato : High-range-resolution imaging using frequency domain interferometry with stabilization techniques for real-time vascular ultrasound, Japanese Journal of Applied Physics, 54, 7S1, 07HF05-1-07HF05-10, 2015. (Link to Publication Site) ● Publication site (DOI): 10.7567/JJAP.54.07HF05 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.7567/JJAP.54.07HF05 (DOI: 10.7567/JJAP.54.07HF05)
21.	Hirofumi Taki, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Compensation technique for the intrinsic error in ultrasound motion estimation using a speckle tracking method, Japanese Journal of Applied Physics, 54, 7S1, 07HF03-1-07HF03-10, 2015. (Link to Publication Site) ● Publication site (DOI): 10.7567/JJAP.54.07HF03 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.7567/JJAP.54.07HF03 (DOI: 10.7567/JJAP.54.07HF03)
22.	Takeshi Umemoto, Ei Ueno, Takeshi Matsumura, Makoto Yamakawa, Hiroko Bando, Tsuyoshi Mitake and Tsuyoshi Shiina : Ex vivo and in vivo assessment of the non-linearity of elasticity properties of breast tissues for quantitative strain elastography, Ultrasound in Medicine & Biology, 40, 8, 1755-1768, 2014. (Summary) The aim of this study was to reveal the background to the image variations in strain elastography (strain imaging [SI]) depending on the manner of manipulation (compression magnitude) during elasticity image (EI) acquisition. Thirty patients with 33 breast lesions who had undergone surgery followed by SI assessment in vivo were analyzed. An analytical approach to tissue elasticity based on the stress-elastic modulus (Young's modulus) relationship was adopted. Young's moduli were directly measured ex vivo in surgical specimens ranging from 2.60 kPa (fat) to 16.08 kPa (invasive carcinoma) under the weak-stress condition (<0.2-0.4 kPa, which corresponds to the appropriate "light touch" technique in SI investigation. The contrast (ratio) of lesion to fat in elasticity ex vivo gradually decreased as the stress applied increased (around 1.0 kPa) on the background of significant non-linearity of the breast tissue. Our results indicate that the differences in non-linearity in elasticity between the different tissues within the breast under minimal stress conditions are closely related to the variation in EI quality. The significance of the "pre-load compression" concept in tissue elasticity evaluation is recognized. Non-linearity of elasticity is an essential attribute of living subjects and could provide useful information having a considerable impact on clinical diagnosis in quantitative ultrasound elastography. (Keyword) Adult / Aged / Aged, 80 and over / Breast / Breast Neoplasms / Breast Neoplasms, Male / Elastic Modulus / Elasticity Imaging Techniques / Female / Humans / Male / Middle Aged / Reproducibility of Results / Ultrasonography, Mammary (Link to Publication Site) ● Publication site (DOI): 10.1016/j.ultrasmedbio.2014.02.005 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 24802305 ● Summary page in Scopus @ Elsevier: 2-s2.0-84902073231 (DOI: 10.1016/j.ultrasmedbio.2014.02.005, PubMed: 24802305, Elsevier: Scopus)
23.	Bing Cong, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina, Takao Nakajima and Yasufumi Asao : A fast acoustic field mapping approach based on Fabry-Perot sensor with high-speed camera, IEEJ Transactions on Electrical and Electronic Engineering, 9, 5, 477-483, 2014. (Link to Publication Site) ● Publication site (DOI): 10.1002/tee.21996 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1002/tee.21996 (DOI: 10.1002/tee.21996)
24.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : High Resolution Ultrasound Imaging Using Frequency Domain Interferometry -Suppression of Interference Using Adaptive Frequency Averaging-, IEEJ Transactions on Electronics, Information and Systems, 132, 10, 1552-1557, 2012. (Link to Publication Site) ● Publication site (DOI): 10.1541/ieejeiss.132.1552 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84867378376 (DOI: 10.1541/ieejeiss.132.1552, Elsevier: Scopus)
25.	Haichong Zhang, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Simultaneous Multispectral Coded Excitation Using Gold Codes for Photoacoustic Imaging, Japanese Journal of Applied Physics, 51, 7, 07GF03-1-07GF03-7, 2012. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.51.07GF03 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84864650127 (DOI: 10.1143/JJAP.51.07GF03, Elsevier: Scopus)
26.	Tsuyoshi Shiina, Tomonori Maki, Makoto Yamakawa, Tsuyoshi Mitake, Masatoshi Kudo and Kenji Fujimoto : Mechanical Model Analysis for Quantitative Evaluation of Liver Fibrosis Based on Ultrasound Tissue Elasticity Imaging, Japanese Journal of Applied Physics, 51, 7, 07GF11-1-07GF11-8, 2012. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.51.07GF11 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84864712452 (DOI: 10.1143/JJAP.51.07GF11, Elsevier: Scopus)
27.	Kengo Kondo, Makoto Yamakawa and Tsuyosi Shiina : Experimental Validation of Displacement Vector Measurement Based on Two-Dimensional Modulation Method with Virtual Hyperbolic Scanning, Japanese Journal of Applied Physics, 51, 7, 07GF10-1-07GF10-6, 2012. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.51.07GF10 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84864644745 (DOI: 10.1143/JJAP.51.07GF10, Elsevier: Scopus)
28.	Makoto Yamakawa and Tsuyoshi Shiina : Tissue Viscoelasticity Imaging Using Vibration and Ultrasound Coupler Gel, Japanese Journal of Applied Physics, 51, 7, 07GF12-1-07GF12-10, 2012. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.51.07GF12 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84864659998 (DOI: 10.1143/JJAP.51.07GF12, Elsevier: Scopus)
29.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Small Calcification Indicator in Ultrasonography Using Correlation of Echoes with a Modified Wiener Filter, Journal of Medical Ultrasonics, 39, 3, 127-135, 2012. (Summary) The purpose of this study is to improve the calcification depiction ability in ultrasonography using correlation of echoes with a modified Wiener filter. The waveform of an ultrasound pulse changes when it passes through the location of a calcification. Since the change in echo waveform caused by a calcification decreases the correlation of waveforms in adjacent scan lines, we have proposed a calcification depiction method using the decorrelation of echoes. However, the low signal-to-noise ratio of echoes also decreases the correlation of the echoes. In this study, we employ the correlation of echoes with a modified Wiener filter to suppress the effect of noise, as an indicator of a calcification. The proposed calcification indicator depicted copper cylindrical rods 0.2 mm in size at a depth of 2 cm with a sensitivity of 80% and a positive predictive value of 80%, despite being hardly depicted at all on B-mode ultrasound imaging. This study suggests the potential of the proposed method to improve the performance of calcification depiction by ultrasound devices. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-012-0354-y (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 27278972 ● Search Scopus @ Elsevier (PMID): 27278972 ● Search Scopus @ Elsevier (DOI): 10.1007/s10396-012-0354-y (DOI: 10.1007/s10396-012-0354-y, PubMed: 27278972)
30.	Shuhui Bu, Zhenbao Liu, Tsuyoshi Shiina, Kengo Kondo, Makoto Yamakawa, Kazuhiko Fukutani, Yasuhiro Someda and Yasufumi Asao : Model-Based Reconstruction Integrated with Fluence Compensation for Photoacoustic Tomography, IEEE Transactions on Biomedical Engineering, 59, 5, 1354-1363, 2012. (Summary) Photoacoustic (PA) tomography (PAT) is a rapidly developing imaging modality that can provide high contrast and spatial-resolution images of light-absorption distribution in tissue. However, reconstruction of the absorption distribution is affected by nonuniform light fluence. This paper introduces a reconstruction method for reducing amplification of noise and artifacts in low-fluence regions. In this method, fluence compensation is integrated into model-based reconstruction, and the absorption distribution is iteratively updated. At each iteration, we calculate the residual between detected PA signals and the signals computed by a forward model using the initial pressure, which is the product of estimated voxel value and light fluence. By minimizing the residual, the reconstructed values converge to the true absorption distribution. In addition, we developed a matrix compression method for reducing memory requirements and accelerating reconstruction speed. The results of simulation and phantom experiments indicate that the proposed method provides a better contrast-to-noise ratio (CNR) in low-fluence regions. We expect that the capability of increasing imaging depth will broaden the clinical applications of PAT. (Keyword) Computer Simulation / Image Processing, Computer-Assisted / Phantoms, Imaging / Photoacoustic Techniques / Signal Processing, Computer-Assisted / Signal-To-Noise Ratio / Tomography (Link to Publication Site) ● Publication site (DOI): 10.1109/TBME.2012.2187649 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 22345521 ● Summary page in Scopus @ Elsevier: 2-s2.0-84860386717 (DOI: 10.1109/TBME.2012.2187649, PubMed: 22345521, Elsevier: Scopus)
31.	Hirofumi Taki, Kousuke Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina, Motoi Kudo and Toru Sato : High Range Resolution Ultrasonographic Vascular Imaging Using Frequency Domain Interferometry with the Capon Method, IEEE Transactions on Medical Imaging, 31, 2, 417-429, 2011. (Summary) For high range resolution ultrasonographic vascular imaging, we apply frequency domain interferometry with the Capon method to a single frame of in-phase and quadrature (IQ) data acquired using a commercial ultrasonographic device with a 7.5 MHz linear array probe. In order to tailor the adaptive beam forming algorithm for ultrasonography we employ four techniques: frequency averaging, whitening, radio-frequency data oversampling, and the moving average. The proposed method had a range resolution of 0.05 mm in an ideal condition, and experimentally detected the boundary couple 0.17 mm apart, where the boundary couple was indistinguishable from a single boundary utilizing a B-mode image. Further, this algorithm could depict a swine femoral artery with a range beam width of 0.054 mm and an estimation error for the vessel wall thickness of 0.009 mm, whereas using a conventional method the range beam width and estimation error were 0.182 and 0.021 mm, respectively. The proposed method requires 7.7 s on a mobile PC with a single CPU for a 1×3 cm region of interest. These findings indicate the potential of the proposed method for the improvement of range resolution in ultrasonography without deterioration in temporal resolution, resulting in enhanced detection of vessel stenosis. (Keyword) Algorithms / Animals / Constriction, Pathologic / Femoral Artery / Image Enhancement / Image Interpretation, Computer-Assisted / Interferometry / Peripheral Arterial Disease / Reproducibility of Results / Sensitivity and Specificity / Swine / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1109/TMI.2011.2170847 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 21984496 ● Summary page in Scopus @ Elsevier: 2-s2.0-84856711301 (DOI: 10.1109/TMI.2011.2170847, PubMed: 21984496, Elsevier: Scopus)
32.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Ultrasound Phantom Using Thin Wires for the Depiction of Calcification -Comparison of Cross-Sections of Wire Targets and Mass Targets-, IEEJ Transactions on Electronics, Information and Systems, 131, 9, 1528-1534, 2011. (Link to Publication Site) ● Publication site (DOI): 10.1541/ieejeiss.131.1528 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-82255196237 (DOI: 10.1541/ieejeiss.131.1528, Elsevier: Scopus)
33.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina, Kenichi Nagae and Toru Sato : Small Calcification Depiction in Ultrasound B-mode Images Using Decorrelation of Echoes Caused by Forward Scattered Waves, Journal of Medical Ultrasonics, 38, 2, 73-80, 2011. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-011-0298-7 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-79955813225 (DOI: 10.1007/s10396-011-0298-7, Elsevier: Scopus)
34.	Shuhui Bu, Makoto Yamakawa and Tsuyoshi Shiina : Myocardial Strain Imaging with High-Performance Adaptive Dynamic Grid Interpolation Method, Japanese Journal of Applied Physics, 49, 7, 07HF25-1-07HF25-10, 2010. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.49.07HF25 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77956602475 (DOI: 10.1143/JJAP.49.07HF25, Elsevier: Scopus)
35.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Calculus Detection for Ultrasonography Using Decorrelation of Forward Scattered Wave, Journal of Medical Ultrasonics, 37, 3, 129-135, 2010. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10396-010-0265-8 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77954689469 (DOI: 10.1007/s10396-010-0265-8, Elsevier: Scopus)
36.	近藤健悟, Makoto Yamakawa and 椎名毅 : Displacement Vector Measurement Using 2D Modulation by Virtual Hyperbolic Beam Forming, IEEJ Transactions on Electronics, Information and Systems, 130, 3, 460-467, 2010. (Summary) For the purpose of diagnosing ischemic heart disease by detection of malfunction area and cancer tumor by detection of hard area, 3-D tissue motion must be correctly evaluated. So far various methods of measuring multidimensional displacement have been developed. Most of present techniques are restricted to one-dimensional measurement of tissue displacement such as myocardial stain-rate imaging. Although lateral modulation method enables us to attain high-accuracy measurement of lateral displacement as well as axial direction by generating lateral oscillating RF signals, the method causes distorted RF far from center of aperture. As a result, the method is not suited to sector scan which is used for myocardial examination. We propose a method to solve the problem by using 2-D modulation with the virtual hyperbolic beam forming and detection of 2-D displacement vector. The feasibilities of the proposed method were evaluated by numerically simulating the left ventricle short-axis imaging of cylindrical myocardial model. The volume strain image obtained by the proposed method clearly depicted the hard infarction area where conventional multi-beam Doppler imaging could not. (Keyword) Ultrasound measurement in medicine / displacement vector measurement / visualization of local myocardial contraction / tissue elasticity imaging / 2D modulation (Link to Publication Site) ● Publication site (DOI): 10.1541/ieejeiss.130.460 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390282679583616256 ● Search Scopus @ Elsevier (DOI): 10.1541/ieejeiss.130.460 (DOI: 10.1541/ieejeiss.130.460, CiNii: 1390282679583616256)
37.	Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa and Hotaka Takizawa : 3D Myocardial Contraction Imaging Based on Dynamic Grid Interpolation: Theory and Simulation Analysis, IEEJ Transactions on Electronics, Information and Systems, 127, 10, 1732-1742, 2007. (Summary) Accurate assessment of local myocardial contraction is important for diagnosis of ischemic heart disease, because decreases of myocardial motion often appear in the early stages of the disease. Three-dimensional (3-D) assessment of the stiffness distribution is required for accurate diagnosis of ischemic heart disease. Since myocardium motion occurs radially within the left ventricle wall and the ultrasound beam propagates axially, conventional approaches, such as tissue Doppler imaging and strain-rate imaging techniques, cannot provide us with enough quantitative information about local myocardial contraction. In order to resolve this problem, we propose a novel myocardial contraction imaging system which utilizes the weighted phase gradient method, the extended combined autocorrelation method, and the dynamic grid interpolation (DGI) method. From the simulation results, we conclude that the strain image's accuracy and contrast have been improved by the proposed method. (Keyword) left ventricle / myocardial contraction function / deformable model / combined autocorrelation / weighted phase gradient (Link to Publication Site) ● Publication site (DOI): 10.1541/ieejeiss.127.1732 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390282679583414272 ● Search Scopus @ Elsevier (DOI): 10.1541/ieejeiss.127.1732 (DOI: 10.1541/ieejeiss.127.1732, CiNii: 1390282679583414272)
38.	椎名毅, 新田尚隆, Makoto Yamakawa, 近藤健悟, 千田彰一 and 舛形尚 : Development of three-dimensional myocardial strain imaging, Japanese Journal of Medical Ultrasonics, 34, 1, 35-56, 2007. (Summary) Decreases in myocardial motion caused by changes in tissue stiffness often appear in the early stage of ischemic heart disease. Since the myocardium exhibits complex 3-D motion, 3-D assessment of the stiffness distribution is required for accurate diagnosis. However, conventional tissue Doppler and strain-rate imaging techniques cannot meet the above requirement completely because they are angle-dependent, use in-plane (2-D) processing, and suffer from aliasing in the case of large myocardial motion. In order to overcome these problems, we propose novel methods to track the 3-D motion by using a 2-D phased array with a small aperture and to assess myocardial malfunction based on full strain tensors obtained by 3-D motion analysis. As a new method of 3-D myocardial motion tracking, we incorporated our phase-gradient method, which is capable of real-time 3-D displacement vector measurement using a 2-D phased array, and our combined autocorrelation method, which accurately measures large phase shifts at each element without aliasing. As a new method of assessing a myocardial ischemic region, the full strain tensor invariant obtained by the measured 3-D vectors is visualized as a 3-D myocardial strain image. We evaluated the feasibility of the proposed methods by numerically simulating left ventricle short-axis imaging of a 3-D elliptic myocardial model including infarction. RF signals received at each element on the 2-D array probe were faithfully simulated. When the simulated echoes were processed by the proposed methods, the invariant image obtained by the full strain tensor clearly depicted the hard infarction area where conventional imaging could not. The proposed methods were also modified for systems with an ordinary 1-D array probe. Finally, a phantom experiment was conducted by using the basic system based on the 1-D array probe. These results validated the feasibility of the proposed methods. (Keyword) Asynergy / myocardial local contraction / strain tensor / three-dimensional myocardial strain imaging / two-dimensional array probe (Link to Publication Site) ● Publication site (DOI): 10.3179/jjmu.34.35 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390282680174645760 ● Summary page in Scopus @ Elsevier: 2-s2.0-85009548079 (DOI: 10.3179/jjmu.34.35, CiNii: 1390282680174645760, Elsevier: Scopus)
39.	Tsuyoshi Shiina, Masashi Yoshida, Makoto Yamakawa and Naotaka Nitta : Basic Investigation of Three-Dimensional Ultrasound Tissue Viscoelasticity Microscope, Japanese Journal of Applied Physics, 46, 7B, 4851-4857, 2007. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.46.4851 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-34547857434 (DOI: 10.1143/JJAP.46.4851, Elsevier: Scopus)
40.	Naoto Miyanaga, Hideyuki Akaza, Makoto Yamakawa, Takehiro Oikawa, Noritoshi Sekido, Shiro Hinotsu, Koji Kawai, Toru Shimazui and Tsuyoshi Shiina : Tissue Elasticity Imaging for Diagnosis of Prostate Cancer: A Preliminary Report, International Journal of Urology, 13, 12, 1514-1518, 2006. (Summary) Elastography is a diagnostic imaging technique that evaluates the hardness of a lesion. It is expected to become a new diagnostic modality for prostate cancer. The aim of this study was to examine the usefulness of elastography in the diagnosis of prostate cancer. A total of 29 patients with untreated, histologically proven prostate cancer were examined using an elastographic imaging technique. The patient was scanned in the dorsosacral position and the prostate was manually compressed with a transrectal ultrasonic probe. The echo signals from inside the tissue were measured before and after the tissue compression and an elastogram was generated by spatially differentiation of the displacement distribution. Elastography depicted the cancer lesion as a harder tissue than the surrounding normal prostatic tissue. Elastography successfully detected 93% (27 patients) of the untreated prostate cancer lesions. Detection of cancer lesions using elastography was significantly higher than by digital rectal examination (59%; 17 patients) and transrectal ultrasonography (55%; 16 patients). Elastography has great potential as a useful modality for diagnosis of prostate cancer. Differentiation between cancerous and normal tissues can be expected to become more accurate as a result of technical advances in the quantification of tissue hardness. (Keyword) Aged / Biopsy, Needle / Elasticity / Endosonography / Humans / Image Enhancement / Male / Middle Aged / Neoplasm Staging / Prognosis / Prostate / Prostatic Neoplasms / Rectum / Severity of Illness Index (Link to Publication Site) ● Publication site (DOI): 10.1111/j.1442-2042.2006.01612.x (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 17118027 ● Summary page in Scopus @ Elsevier: 2-s2.0-33751213388 (DOI: 10.1111/j.1442-2042.2006.01612.x, PubMed: 17118027, Elsevier: Scopus)
41.	Ako Itoh, Ei Ueno, Eriko Tohno, Hiroshi Kamma, Hideto Takahashi, Tsuyoshi Shiina, Makoto Yamakawa and Takeshi Matsumura : Breast Disease: Clinical Application of US Elastography for Diagnosis, Radiology, 239, 2, 341-350, 2006. (Summary) To evaluate the diagnostic performance of real-time freehand elastography by using the extended combined autocorrelation method (CAM) to differentiate benign from malignant breast lesions, with pathologic diagnosis as the reference standard. This study was approved by the University of Tsukuba Human Subjects Institutional Review Board; all patients gave informed consent. Conventional ultrasonography (US) and real-time US elastography with CAM were performed in 111 women (mean age, 49.4 years; age range, 27-91 years) who had breast lesions (59 benign, 52 malignant). Elasticity images were assigned an elasticity score according to the degree and distribution of strain induced by light compression. The area under the curve and cutoff point, both of which were obtained by using a receiver operating characteristic curve analysis, were used to assess diagnostic performance. Mean scores were examined by using a Student t test. Sensitivity, specificity, and accuracy were compared by using the standard proportion difference test or the Delta-equivalent test. For elasticity score, the mean +/- standard deviation was 4.2 +/- 0.9 for malignant lesions and 2.1 +/- 1.0 for benign lesions (P < .001). When a cutoff point of between 3 and 4 was used, elastography had 86.5% sensitivity, 89.8% specificity, and 88.3% accuracy. When a best cutoff point of between 4 and 5 was used, conventional US had 71.2% sensitivity, 96.6% specificity, and 84.7% accuracy. Elastography had higher sensitivity than conventional US (P < .05). By using equivalence bands for noninferiority or equivalence, it was shown that the specificity of elastography was not inferior to that of conventional US and that the accuracy of elastography was equivalent to that of conventional US. For assessing breast lesions, US elastography with the proposed imaging classification, which was simple compared with that of the Breast Imaging Recording and Data System classification, had almost the same diagnostic performance as conventional US. (Keyword) Adult / Aged / Aged, 80 and over / Breast Diseases / Breast Neoplasms / Diagnosis, Differential / Elasticity / Humans / Middle Aged / Reproducibility of Results / Sensitivity and Specificity / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1148/radiol.2391041676 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 16484352 ● Summary page in Scopus @ Elsevier: 2-s2.0-33646150005 (DOI: 10.1148/radiol.2391041676, PubMed: 16484352, Elsevier: Scopus)
42.	Makoto Yamakawa and Tsuyoshi Shiina : Tissue Elasticity Reconstruction Based on Modified 3-Dimensional Finite-Element Model, Japanese Journal of Applied Physics, 44, 6B, 4567-4577, 2005. (Link to Publication Site) ● Publication site (DOI): 10.1143/JJAP.44.4567 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1143/JJAP.44.4567 (DOI: 10.1143/JJAP.44.4567)
43.	Makoto Yamakawa, Naotaka Nitta, Tsuyoshi Shiina, Takeshi Matsumura, Satoshi Tamano, Tsuyoshi Mitake and Ei Ueno : High-speed Freehand Tissue Elasticity Imaging for Breast Diagnosis, Japanese Journal of Applied Physics, 42, 5B, 3265-3270, 2003. (Link to Publication Site) ● Publication site (DOI): 10.1143/jjap.42.3265 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-0041743151 (DOI: 10.1143/jjap.42.3265, Elsevier: Scopus)
44.	Makoto Yamakawa and Tsuyoshi Shiina : Strain Estimation Using the Extended Combined Autocorrelation Method, Japanese Journal of Applied Physics, 40, 5B, 3872-3876, 2001. (Link to Publication Site) ● Publication site (DOI): 10.1143/jjap.40.3872 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-0035328065 (DOI: 10.1143/jjap.40.3872, Elsevier: Scopus)
45.	Makoto Yamakawa and Tsuyoshi Shiina : Tissue Elasticity Reconstruction Based on 3-Dimensional Finite-Element Model, Japanese Journal of Applied Physics, 38, 5B, 3393-3398, 1999. (Link to Publication Site) ● Publication site (DOI): 10.1143/jjap.38.3393 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-0033344946 (DOI: 10.1143/jjap.38.3393, Elsevier: Scopus)

Review, Commentary:

1.	Makoto Yamakawa : 肝腫瘤超音波画像診断支援AI開発のための最適な教師データ作成に関する基礎的検討, 超音波TECHNO, 36, 2, 24-28, Apr. 2024. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1520018677362489984 (CiNii: 1520018677362489984)
2.	Makoto Yamakawa : 超音波画像データベース構築と肝腫瘤・乳腺腫瘤鑑別AI開発, 超音波TECHNO, 35, 1, 1-5, Feb. 2023. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1520013663279158784 (CiNii: 1520013663279158784)
3.	Makoto Yamakawa : 超音波画像診断とAI, RadFan, 20, 6, 2-4, Jun. 2022.
4.	西田直生志, Makoto Yamakawa, 目加田慶人, 椎名毅 and 工藤正俊 : 肝臓学とAI 超音波画像でのAIを用いた肝腫瘤検出と鑑別診断, KAN TAN SUI, 84, 1, 37-45, Jan. 2022.
5.	椎名毅 and Makoto Yamakawa : 人工知能の利活用を見据えた超音波画像データベース構築とAI応用, Japanese Journal of Breast Cancer, 36, 1, 39-46, Feb. 2021.
6.	Makoto Yamakawa, 椎名毅, 西田直生志 and 工藤正俊 : Computer-aided diagnosis of liver and breast tumors by deep learning method using ultrasound images, The Journal of the Acoustical Society of Japan, 76, 12, 706-711, Dec. 2020. (Link to Publication Site) ● Publication site (DOI): 10.20697/jasj.76.12_706 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390005822570041088 ● Search Scopus @ Elsevier (DOI): 10.20697/jasj.76.12_706 (DOI: 10.20697/jasj.76.12_706, CiNii: 1390005822570041088)
7.	西田直生志, Makoto Yamakawa, 椎名毅 and 工藤正俊 : AIによる肝腫瘤検出・判別支援システムの開発, Clinical Gastroenterology, 35, 9, 1166-1174, Aug. 2020. (Link to Publication Site) ● Publication site (DOI): 10.19020/cg.0000001302 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390848250142452480 ● Search Scopus @ Elsevier (DOI): 10.19020/cg.0000001302 (DOI: 10.19020/cg.0000001302, CiNii: 1390848250142452480)
8.	服部弘毅, 浪田健, 村田勇也, 近藤健悟, Makoto Yamakawa and 椎名毅 : 光音響イメージングを用いた皮膚光老化の評価, Optical Alliance, 31, 8, 30-34, Aug. 2020. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1521136279685342080 (CiNii: 1521136279685342080)
9.	椎名毅, Makoto Yamakawa, 西田直生志, 工藤正俊, 津川浩一郎 and 中島康雄 : AI超音波診断の最新動向と今後の展望, インナービジョン, 35, 6, 47-49, May 2020.
10.	Makoto Yamakawa and 椎名毅 : Computer-aided diagnosis for medical ultrasound using deep learning method, The Journal of the Acoustical Society of Japan, 74, 7, 409-410, Jul. 2018. (Link to Publication Site) ● Publication site (DOI): 10.20697/jasj.74.7_409 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390845713035696128 ● Search Scopus @ Elsevier (DOI): 10.20697/jasj.74.7_409 (DOI: 10.20697/jasj.74.7_409, CiNii: 1390845713035696128)
11.	浪田健, 橋本一輝, 平野進, 内本陽, 近藤健悟, Makoto Yamakawa and 椎名毅 : 光音響イメージングによる頸動脈プラークの性状診断 -多波長ハンドヘルド型システムの臨床応用に向けて-, 超音波TECHNO, 29, 5, 94-98, Oct. 2017. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1520573330088362496 (CiNii: 1520573330088362496)
12.	Makoto Yamakawa : Principle of Ultrasound Elastography Based on Shear Wave Propagation, Medical Imaging Technology, 32, 2, 75-80, May 2014. (Summary) In recent years, the ultrasonic tissue elasticity imaging equipments commoditized, and its validity has been verified clinically. As the ultrasonic tissue elasticity imaging method, there are a method based on the strain distribution and a method based on the shear wave speed. In this paper, we illustrate the principle of the method based on the shear wave speed. First, we describe the relation between the tissue elasticity and shear wave speed. Next, we describe the shear wave generating method, the shear wave propagation measuring method, the shear wave speed estimation method, and finally, we describe the tissue viscoelasticity estimation method based on the shear wave phase speed. (Keyword) Ultrasound / Elastography / Shear wave speed / Tissue viscoelasticity imaging (Link to Publication Site) ● Publication site (DOI): 10.11409/mit.32.75 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390282679630060032 ● Search Scopus @ Elsevier (DOI): 10.11409/mit.32.75 (DOI: 10.11409/mit.32.75, CiNii: 1390282679630060032)
13.	Makoto Yamakawa : がん診断と硬さ計測, The Journal of Adult Diseases, 42, 7, 779-783, Jul. 2012. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1524232505637882752 (CiNii: 1524232505637882752)
14.	Makoto Yamakawa and 椎名毅 : 組織弾性イメージング技術の拡張 -無エコー病変に対応した組織弾性イメージング法の基礎的検討, 超音波TECHNO, 18, 10, 39-43, Nov. 2006. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1520010380354766592 (CiNii: 1520010380354766592)

Proceeding of International Conference:

1.	Tsuyoshi Shiina, Takeshi Namita, Misaki Nishiyama and Makoto Yamakawa : Anisakis detection in fish fillets by multiple-wavelength analysis of photoacoustic images, Proc. of 2025 IEEE International Ultrasonics Symposium, 1-4, Sep. 2025. (Link to Publication Site) ● Publication site (DOI): 10.1109/IUS62464.2025.11201542 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-105021802929 (DOI: 10.1109/IUS62464.2025.11201542, Elsevier: Scopus)
2.	Makoto Yamakawa, Tsuyoshi Shiina, Koichiro Tsugawa, Naoshi Nishida and Masatoshi Kudo : Deep-learning framework based on a large ultrasound image database to realize computer-aided diagnosis for liver and breast tumors, Proc. of 2021 IEEE International Ultrasonics Symposium, 1-4, Sep. 2021. (Link to Publication Site) ● Publication site (DOI): 10.1109/IUS52206.2021.9593518 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85122866538 (DOI: 10.1109/IUS52206.2021.9593518, Elsevier: Scopus)
3.	Kazuma Shiotani, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Detecting and evaluating vulnerable artery plaque with handheld photoacoustic imaging system, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2021, 11642, 1164241-1-1164241-6, Mar. 2021. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2577632 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85109114348 (DOI: 10.1117/12.2577632, Elsevier: Scopus)
4.	Nao Yoshida, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Fundamental study for detection of anisakis by photoacoustic imaging, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2021, 11642, 116424I-1-116424I-6, Mar. 2021. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2578234 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85109108333 (DOI: 10.1117/12.2578234, Elsevier: Scopus)
5.	Haruna Takeshima, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Quantitative evaluation of skin photoaging mechanisms using multi-wavelength analysis of photoacoustic images, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2021, 11642, 116420R-1-116420R-10, Mar. 2021. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2579454 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85109090466 (DOI: 10.1117/12.2579454, Elsevier: Scopus)
6.	Hiroki Hattori, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Applicability of photoacoustic microscopy to quantitative photoaging evaluation, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2021, 11642, 116420Q-1-116420Q-6, Mar. 2021. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2579085 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85109102625 (DOI: 10.1117/12.2579085, Elsevier: Scopus)
7.	Hiroki Hattori, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Study for quantitative evaluation of photoaging with photoacoustic microscopy, Proc. of 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 1927-1930, Jul. 2020. (Link to Publication Site) ● Publication site (DOI): 10.1109/EMBC44109.2020.9176680 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85091005309 (DOI: 10.1109/EMBC44109.2020.9176680, Elsevier: Scopus)
8.	Kazuma Shiotani, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Detecting and evaluating lipid-rich artery plaque using a handheld photoacoustic imaging system, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2020, 11240, 1124052-1-1124052-6, Feb. 2020. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2545622 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85082646978 (DOI: 10.1117/12.2545622, Elsevier: Scopus)
9.	Hiroki Hattori, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Study for evaluation of skin aging with photoacoustic microscopy, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2020, 11240, 112400C-1-112400C-5, Feb. 2020. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2544557 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85082676198 (DOI: 10.1117/12.2544557, Elsevier: Scopus)
10.	Kohei Ogawa, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Evaluation of inflammatory degree using model rats by multi-wavelength photoacoustic imaging system, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2020, 11240, 112404Z-1-112404Z-5, Feb. 2020. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2544966 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85082664380 (DOI: 10.1117/12.2544966, Elsevier: Scopus)
11.	Moe Sakata, Makoto Yamakawa, Takeshi Namita, Kengo Kondo and Tsuyoshi Shiina : Photoacoustic imaging for lymphatic vein anastomosis Examination using small animals, Proc. of 2019 IEEE International Ultrasonics Symposium, 2362-2365, Oct. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2019.8926173 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85077537219 (DOI: 10.1109/ULTSYM.2019.8926173, Elsevier: Scopus)
12.	Kai Miyake, Makoto Yamakawa, Kengo Kondo, Takeshi Namita and Tsuyoshi Shiina : Liver fibrosis structure effects on viscoelasticity estimation using group shear wave speeds, Proc. of 2019 IEEE International Ultrasonics Symposium, 419-422, Oct. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2019.8926010 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85077540531 (DOI: 10.1109/ULTSYM.2019.8926010, Elsevier: Scopus)
13.	Makoto Yamakawa, Tsuyoshi Shiina, Naoshi Nishida and Masatoshi Kudo : Computer aided diagnosis system developed for ultrasound diagnosis of liver lesions using deep learning, Proc. of 2019 IEEE International Ultrasonics Symposium, 2330-2333, Oct. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2019.8925698 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85077592825 (DOI: 10.1109/ULTSYM.2019.8925698, Elsevier: Scopus)
14.	Moemi Urano, Hiroki Kajita, Nobuaki Imanishi, Makoto Yamakawa, Kenichi Nagae, Tsuyoshi Shiina, Masashi Takemaru, Tetsuya Tsuji, Masahiro Jinzaki, Sadakazu Aiso and Kazuo Kishi : Visualizing and flow velocity estimation in human lymphatic vessel using real-time photoacoustic imaging, Proc. of 2019 IEEE International Ultrasonics Symposium, WePoS-12.4, Oct. 2019.
15.	Kohei Ogawa, Takeshi Namita, Kengo Kondo and Makoto Yamakawa : Evaluation of arthritis with model rats using photoacoustic imaging system, Proc. of European Conference on Biomedical Optics, 11077_55-1-11077_55-4, Jun. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2527104 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85074286172 ● Summary page in Scopus @ Elsevier: 2-s2.0-85084418515 (DOI: 10.1117/12.2527104, Elsevier: Scopus, Elsevier: Scopus)
16.	Yuki Nakao, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Fundamental study for identification and elimination of reflection artifacts with photoacoustic spectrum, Proc. of European Conference on Biomedical Optics, 11077_47-1-11077_47-4, Jun. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2526750 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85074293980 ● Summary page in Scopus @ Elsevier: 2-s2.0-85084436334 (DOI: 10.1117/12.2526750, Elsevier: Scopus, Elsevier: Scopus)
17.	Yo Uchimoto, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Usefulness verification of handheld photoacoustic imaging system for evaluating hypodermal tissue, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2019, 10878, 108786K-1-108786K-6, Feb. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2509476 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85065427494 (DOI: 10.1117/12.2509476, Elsevier: Scopus)
18.	Kyosuke Asada, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Evaluation of the usefulness of handheld photoacoustic imaging system for quantitative diagnosis of fatty liver, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2019, 10878, 108785J-1-108785J-6, Feb. 2019. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2510786 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85065442733 (DOI: 10.1117/12.2510786, Elsevier: Scopus)
19.	Shunto Takaoka, Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Simultaneous photoacoustic and ultrasound imaging using a hemispherical sensor array, Proc. of 2018 IEEE International Ultrasonics Symposium, 1-4, Oct. 2018. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2018.8580127 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85060598782 (DOI: 10.1109/ULTSYM.2018.8580127, Elsevier: Scopus)
20.	Misaki Nishiyama, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Development of photoacoustic imaging system of finger vasculature using ring-shaped ultrasound transducer, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2018, 10494, 1049448-1-1049448-8, Jan. 2018. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2288655 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85047291574 (DOI: 10.1117/12.2288655, Elsevier: Scopus)
21.	Yo Uchimoto, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Feasibility evaluation of 3D photoacoustic imaging of blood vessel structure using multiple wavelengths with a handheld probe, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2018, 10494, 1049446-1-1049446-7, Jan. 2018. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2288896 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85047362454 (DOI: 10.1117/12.2288896, Elsevier: Scopus)
22.	Makoto Yamakawa, Shiori Fujii and Tsuyoshi Shiina : Evaluation of shear wave dispersion caused by liver fibrous structure using hepatic fibrosis progression model, Ultrasound in Medicine & Biology, 43, S87, Oct. 2017. (Link to Publication Site) ● Publication site (DOI): 10.1016/j.ultrasmedbio.2017.08.1232 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1016/j.ultrasmedbio.2017.08.1232 (DOI: 10.1016/j.ultrasmedbio.2017.08.1232)
23.	Shiori Fujii, Makoto Yamakawa, Masatoshi Kudo, Kengo Kondo, Tsuyoshi Shiina and Takeshi Namita : Evaluation of shear wave dispersion caused by fibrous structure and tissue viscosity using hepatic fibrosis progression and histological models, Proc. of 2017 IEEE International Ultrasonics Symposium, 1-4, Sep. 2017. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2017.8092713 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85039413861 ● Summary page in Scopus @ Elsevier: 2-s2.0-85039428929 (DOI: 10.1109/ULTSYM.2017.8092713, Elsevier: Scopus, Elsevier: Scopus)
24.	Yuya Murata, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Quantitative evaluation of skin aging with photoacoustic microscopy, Proc. of 2017 IEEE International Ultrasonics Symposium, 1-4, Sep. 2017. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2017.8092271 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85039429781 ● Summary page in Scopus @ Elsevier: 2-s2.0-85039451196 (DOI: 10.1109/ULTSYM.2017.8092271, Elsevier: Scopus, Elsevier: Scopus)
25.	Takuya Matsumoto, Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Experimental validation of simultaneous excitation of orthogonal coded push pulses for fast shear wave elastography, Proc. of 2017 IEEE International Ultrasonics Symposium, 1-4, Sep. 2017. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2017.8092094 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85039430251 ● Summary page in Scopus @ Elsevier: 2-s2.0-85039437331 (DOI: 10.1109/ULTSYM.2017.8092094, Elsevier: Scopus, Elsevier: Scopus)
26.	Takeshi Namita, Mitsuki Sato, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Evaluation of blood glucose concentration measurement using photoacoustic spectroscopy in near-infrared region, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2017, 10064, 100645A-1-100645A-7, Jan. 2017. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2252532 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85018911335 (DOI: 10.1117/12.2252532, Elsevier: Scopus)
27.	Takeshi Namita, Yuya Murata, Junji Tokuyama, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Biological tissue component evaluation by measuring photoacoustic spectrum, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2017, 10064, 100645B-1-100645B-5, Jan. 2017. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2252393 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85018933122 (DOI: 10.1117/12.2252393, Elsevier: Scopus)
28.	Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Three-dimensional photoacoustic reconstruction for sparse array using compressed sensing based on k-space algorithm, Proc. of 2016 IEEE International Ultrasonics Symposium, 1-3, Sep. 2016. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2016.7728883 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84996526085 (DOI: 10.1109/ULTSYM.2016.7728883, Elsevier: Scopus)
29.	Susumu Hirano, Takeshi Namita, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Aortic atherosclerotic plaque detection using a multiwavelength handheld photoacoustic imaging system, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2016, 9708, 97084Y-1-97084Y-6, Feb. 2016. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2212256 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84975046390 (DOI: 10.1117/12.2212256, Elsevier: Scopus)
30.	Jun-keun Jang, Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : Comparison of techniques for estimating shear-wave velocity in arterial wall using shear-wave elastography -FEM and phantom study, Proc. of 2015 IEEE International Ultrasonics Symposium, 1-4, Oct. 2015. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2015.0288 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84962010478 (DOI: 10.1109/ULTSYM.2015.0288, Elsevier: Scopus)
31.	Takeshi Umemoto, Ei Ueno, Takeshi Matsumura, Makoto Yamakawa, Hiroko Bando, Tsuyoshi Mitake and Tsuyoshi Shiina : Pre-load compression: Substantial concept in tissue elasticity evaluation, Ultrasound in Medicine & Biology, 41, 4, S81-S82, Mar. 2015. (Link to Publication Site) ● Publication site (DOI): 10.1016/j.ultrasmedbio.2014.12.338 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1016/j.ultrasmedbio.2014.12.338 (DOI: 10.1016/j.ultrasmedbio.2014.12.338)
32.	Mikako Gomyo, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Mapping viscoelastic properties by multi-line (ML) acoustic radiation force, Proc. of SPIE Medical Imaging 2015: Ultrasonic Imaging and Tomography, 9419, 94191A-1-94191A-8, Feb. 2015. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2082456 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84943521037 (DOI: 10.1117/12.2082456, Elsevier: Scopus)
33.	Masataka Azuma, Haichong K Zhang, Kengo Kondo, Takeshi Namita, Makoto Yamakawa and Tsuyoshi Shiina : High frame rate photoacoustic computed tomography using coded excitation, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2015, 9323, 93232O-1-93232O-6, Feb. 2015. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2079406 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84928535877 (DOI: 10.1117/12.2079406, Elsevier: Scopus)
34.	Tomoaki Kitazaki, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Estimation of tissue viscoelasticity using inverse filter and multiple-point shear wave generation, Proc. of Thirteenth International Tissue Elasticity Conference, 40, Sep. 2014.
35.	Tomoaki Kitazaki, Tsuyoshi Shiina, Kengo Kondo and Makoto Yamakawa : Shear wave elasticity imaging using inverse filtering and multiple-point shear wave generation, Proc. of 2014 IEEE International Ultrasonics Symposium, 1121-1123, Sep. 2014. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2014.0275 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84910026593 (DOI: 10.1109/ULTSYM.2014.0275, Elsevier: Scopus)
36.	Bing Cong, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Photoacoustic image reconstruction quality enhancement based on optimum focusing by calculating mean acoustic sound-speed, Proc. of 2014 IEEE International Ultrasonics Symposium, 1368-1371, Sep. 2014. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2014.0338 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84910068757 (DOI: 10.1109/ULTSYM.2014.0338, Elsevier: Scopus)
37.	Hirofumi Taki, Makoto Yamakawa, Tsuyoshi Shiina, Toru Sato and Guillaume Haïat : Small calcification depiction in ultrasonography using frequency domain interferometry, Proc. of 2014 IEEE International Ultrasonics Symposium, 1304-1307, Sep. 2014. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2014.0322 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84910049155 (DOI: 10.1109/ULTSYM.2014.0322, Elsevier: Scopus)
38.	Hirofumi Taki, Kousuke Taki, Makoto Yamakawa, Tsuyoshi Shiina, Motoi Kudo and Toru Sato : Stabilization technique for real-time high-resolution vascular ultrasound using frequency domain interferometry, Proc. of 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5085-5088, Aug. 2014. (Summary) We have proposed an ultrasound imaging method based on frequency domain interferometry (FDI) with an adaptive beamforming technique to depict real-time high-resolution images of human carotid artery. Our previous study has investigated the performance of the proposed imaging method under an ideal condition with a high signal-to-noise ratio (SNR). In the present study, we propose a technique that has the potential to improve accuracy in estimating echo intensity using the FDI imaging method. We investigated the performance of the proposed technique in a simulation study that two flat interfaces were located at depths of 15.0 and 15.2 mm and white noise was added. Because the -6 dB bandwidth of the signal used in this simulation study is 2.6 MHz, the conventional B-mode imaging method failed to depict the two interfaces. Both the conventional and proposed FDI imaging methods succeeded to depict the two interfaces when the SNR ranged from 15 to 30 dB. However, the average error of the estimated echo intensity at the interfaces using the conventional FDI imaging method ranged from 7.2 to 10.5 dB. In contrast, that using the FDI imaging method with the proposed technique ranged from 2.0 to 2.2 dB. The present study demonstrates the potential of the FDI imaging method in depicting robust and high-range-resolution ultrasound images of arterial wall, indicating the possibility to improve the diagnosis of atherosclerosis in early stages. (Keyword) Atherosclerosis / Carotid Arteries / Early Diagnosis / Humans / Interferometry / Signal Processing, Computer-Assisted / Signal-To-Noise Ratio / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1109/EMBC.2014.6944768 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 25571136 ● Summary page in Scopus @ Elsevier: 2-s2.0-84929485825 (DOI: 10.1109/EMBC.2014.6944768, PubMed: 25571136, Elsevier: Scopus)
39.	Mikako Gomyo, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Mapping viscoelastic properties using acoustic radiation force, Proc. of Twelfth International Tissue Elasticity Conference, 105, Oct. 2013.
40.	Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Coded excitation scheme for acoustic radiation push pulse compression, Proc. of 2013 IEEE International Ultrasonics Symposium, 341-343, Jul. 2013. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2013.0088 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84894322227 (DOI: 10.1109/ULTSYM.2013.0088, Elsevier: Scopus)
41.	Haichong Zhang, Tsuyoshi Shiina, Kengo Kondo and Makoto Yamakawa : Photoacoustic flow measurement with ultra-high temporal resolution by coded excitation, Proc. of 2013 IEEE International Ultrasonics Symposium, 1857-1860, Jul. 2013. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2013.0473 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84894343482 (DOI: 10.1109/ULTSYM.2013.0473, Elsevier: Scopus)
42.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina, Toru Sato, Kousuke Taki and Motoi Kudo : Adaptive-beamformer with accurate intensity-estimation technique for high-range-resolution vascular ultrasound imaging, Proc. of 2013 IEEE International Ultrasonics Symposium, 805-808, Jul. 2013. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2013.0207 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84894364562 (DOI: 10.1109/ULTSYM.2013.0207, Elsevier: Scopus)
43.	Hirofumi Taki, Takuya Sakamoto, Kousuke Taki, Makoto Yamakawa, Tsuyoshi Shiina, Motoi Kudo and Toru Sato : Real-time high-resolution vascular ultrasound using frequency domain interferometry with the ROI-division process, Proc. of 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1398-1401, Jul. 2013. (Summary) We have proposed a high-range-resolution ultrasound imaging method for human carotid artery using an adaptive beamforming technique based on frequency domain interferometry (FDI). The method assumes that the received signal consists of multiple echoes of targets and noise, where the waveform of each echo is similar to that of the reference signal. In this study, we examine the dependence of the echo waveform on the target depth, and investigate the proper measurement-range for the FDI imaging method using a reference signal. Furthermore, we propose a ROI-division process, where each sub-ROI has a proper measurement-range for the application of the FDI imaging method. Simulation and experimental results show the efficiency of the ROI-division process in improving the image quality of human carotid artery acquired using the FDI imaging method. We believe that the modified FDI imaging method with the ROI-division process has the potential to facilitate significant progress in the detection of vessel stenosis and in the assessment of cardiovascular disease risk. (Keyword) Carotid Arteries / Computer Systems / Humans / Interferometry / Signal Processing, Computer-Assisted / Ultrasonography (Link to Publication Site) ● Publication site (DOI): 10.1109/EMBC.2013.6609771 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 24109958 ● Summary page in Scopus @ Elsevier: 2-s2.0-84886540615 (DOI: 10.1109/EMBC.2013.6609771, PubMed: 24109958, Elsevier: Scopus)
44.	Makoto Yamakawa, Tsuyoshi Shiina, Kathryn R Nightingale, Timothy J Hall, Jeffrey C Bamber, Mark L Palmeri and Masatoshi Kudo : WFUMB Guidelines and Recommendations on Clinical Use for Ultrasound Elastography -Basic Principles and Technology-, Proc. of 14th Congress of the World Federation for Ultrasound in Medicine and Biology, 101, May 2013.
45.	Haichong Zhang, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Simultaneous multispectral coded excitation using periodic and unipolar M-sequences for photoacoustic imaging, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2013, 8581, 85812Y-1-85812Y-8, Feb. 2013. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.2003319 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84878080548 (DOI: 10.1117/12.2003319, Elsevier: Scopus)
46.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Ultrasound tissue motion assessment using full correlation analysis, Proc. of 2012 IEEE International Ultrasonics Symposium, 2563-2566, Oct. 2012. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2012.0642 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84882367573 (DOI: 10.1109/ULTSYM.2012.0642, Elsevier: Scopus)
47.	Haichong Zhang, Kengo Kondo, Tsuyoshi Shiina and Makoto Yamakawa : Simultaneous Multispectral Coded Excitation for Photoacoustic Imaging, Proc. of 2012 IEEE International Ultrasonics Symposium, 1402-1405, Oct. 2012. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2012.0350 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84882404016 (DOI: 10.1109/ULTSYM.2012.0350, Elsevier: Scopus)
48.	Haichong Zhang, Kengo Kondo, Makoto Yamakawa and Tsuyoshi Shiina : Experimental evaluation of simultaneous multispectral coded excitation for photoacoustic imaging, Proc. of the Eleventh International Tissue Elasticity Conference, 98, Oct. 2012.
49.	Bing Cong, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina, Takao Nakajima and Yasufumi Asao : A fast acoustic field mapping approach based on Fabry-Perot sensor with high-speed CMOS camera, Proc. of the Eleventh International Tissue Elasticity Conference, 39, Oct. 2012.
50.	Hirofumi Taki, Takuya Sakamoto, Kousuke Taki, Makoto Yamakawa, Tsuyoshi Shiina, Motoi Kudo and Toru Sato : High-resolution vascular ultrasound imaging for accurate measurement of carotid intima-media thickness, Proc. of European Society of Cardiology Congress 2012, 8, 25-29, Aug. 2012.
51.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Small calcification depiction in ultrasonography using correlation technique for breast cancer screening, Proc. of Acoustics 2012, 847-851, Apr. 2012.
52.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina, Toru Sato, Kousuke Taki and Motoi Kudo : High range resolution ultrasound imaging of a human carotid artery using frequency domain interferometry, Proc. of 2011 IEEE International Ultrasonics Symposium, 2201-2004, Oct. 2011. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2011.0546 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84869029452 (DOI: 10.1109/ULTSYM.2011.0546, Elsevier: Scopus)
53.	Takeshi Umemoto, Ei Ueno, Yoko Fujihara, Takeshi Matsumura, Makoto Yamakawa, Tsuyoshi Shiina, Eriko Tohno, Tsuyoshi Mitake, Hiroko Bando, Isamu Morishima and Hisato Hara : Elastic moduli of breast carcinoma comparing US elastography findings, Ultrasound in Medicine & Biology, 37, 8, S45, Aug. 2011. (Link to Publication Site) ● Publication site (DOI): 10.1016/j.ultrasmedbio.2011.05.217 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1016/j.ultrasmedbio.2011.05.217 (DOI: 10.1016/j.ultrasmedbio.2011.05.217)
54.	Shuhui Bu, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina, Kazuhiko Fukutani, Yasuhiro Someda and Yasufumi Asao : Adaptive and quantitative reconstruction algorithm for photoacoustic tomography, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2011, 7899, 78992G-1-78992G-8, Jan. 2011. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.871436 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-79955498097 (DOI: 10.1117/12.871436, Elsevier: Scopus)
55.	Kazuhiko Fukutani, Yasuhiro Someda, Masakazu Taku, Yasufumi Asao, Shuichi Kobayashi, Takayuki Yagi, Makoto Yamakawa, Tsuyoshi Shiina, Tomoharu Sugie and Masakazu Toi : Characterization of photoacoustic tomography system with dual illumination, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2011, 7899, 78992J-1-78992J-7, Jan. 2011. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.873690 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-79955514577 (DOI: 10.1117/12.873690, Elsevier: Scopus)
56.	Koichi Tanji, Katsuhiro Watanabe, Kazuhiko Fukutani, Yasufumi Asao, Takayuki Yagi, Makoto Yamakawa and Tsuyoshi Shiina : Advanced model-based reconstruction algorithm for practical three-dimensional photoacoustic imaging, Proc. of SPIE Photons Plus Ultrasound: Imaging and Sensing 2011, 7899, 78992K-1-78992K-6, Jan. 2011. (Link to Publication Site) ● Publication site (DOI): 10.1117/12.873704 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-79955497268 (DOI: 10.1117/12.873704, Elsevier: Scopus)
57.	Kazuhiko Fukutani, Takuro Miyasato, Takao Nakajima, Yasuhiro Someda, Yasufumi Asao, Takayuki Yagi, Makoto Yamakawa and Tsuyoshi Shiina : Dual illumination mode photoacoustic tomography for quantitative imaging, Proc. of 2010 IEEE International Ultrasonics Symposium, 2143-2146, Oct. 2010. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2010.5935512 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-80054015702 (DOI: 10.1109/ULTSYM.2010.5935512, Elsevier: Scopus)
58.	Shuhui Bu, Makoto Yamakawa and Tsuyoshi Shiina : Adaptive depth compensation algorithm for photoacoustic tomography, Proc. of 2010 IEEE International Ultrasonics Symposium, 2139-2142, Oct. 2010. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2010.5935453 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-80054056325 (DOI: 10.1109/ULTSYM.2010.5935453, Elsevier: Scopus)
59.	Hirofumi Taki, Kousuke Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : High range resolution medical acoustic vascular imaging with frequency domain interferometry, Proc. of 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5298-5301, Aug. 2010. (Summary) For high range resolution acoustic vascular imaging we apply frequency domain interferometry and Capon method to a few frames of in-phase and quadrature (IQ) data acquired by a commercial ultrasonographic device. To suit the adaptive beamforming algorithm to medical acoustic imaging we employ three techniques; frequency averaging, whitening, and pseudo-double RF data conversion. The proposed method detected two couples of boundaries 0.26 and 0.19 mm apart using a single frame and two frames of IQ data, respectively, where each couple of boundaries is indistinguishable from a single boundary utilizing B-mode images. Further this algorithm could depict a swine femoral artery with higher range resolution than conventional B-mode imaging. These results indicate the potential of the proposed method for the range resolution improvement in ultrasonography, originating the progress in detection of vessel stenosis. (Keyword) Acoustics / Animals / Femoral Artery / Gelatin / Image Interpretation, Computer-Assisted / Interferometry / Radio Waves / Sus scrofa (Link to Publication Site) ● Publication site (DOI): 10.1109/IEMBS.2010.5626325 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 21096063 ● Summary page in Scopus @ Elsevier: 2-s2.0-78650851187 (DOI: 10.1109/IEMBS.2010.5626325, PubMed: 21096063, Elsevier: Scopus)
60.	Makoto Yamakawa, Kengo Kondo and Tsuyoshi Shiina : Basic investigation of satellite-view ultrasound imaging system, Proc. of the 3rd Biomedical Engineering International Conference, 204-206, Aug. 2010.
61.	Shuhui Bu, Makoto Yamakawa and Tsuyoshi Shiina : Interpolation method for model-based 3-D planar photoacoustic tomography reconstruction, Proc. of the 3rd Biomedical Engineering International Conference, 129-132, Aug. 2010.
62.	Hirofumi Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina and Toru Sato : Small calcification detection for ultrasonography using decorrelation between raw ultrasonographic data, Proc. of the 3rd Biomedical Engineering International Conference, 138-141, Aug. 2010.
63.	Makoto Yamakawa, Kengo Kondo and Tsuyoshi Shiina : B-mode image contrast improvement and 2-D strain estimation using satellite-view imaging method, Proc. of 2009 IEEE International Ultrasonics Symposium, 2422-2425, Sep. 2009. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2009.5441842 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77952822493 (DOI: 10.1109/ULTSYM.2009.5441842, Elsevier: Scopus)
64.	Tsuyoshi Shiina, Kengo Kondo and Makoto Yamakawa : Displacement vector measurement based on two-dimensional modulation method with hyperbolic scanning, Proc. of 2009 IEEE International Ultrasonics Symposium, 2284-2287, Sep. 2009. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2009.5441432 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77952831762 (DOI: 10.1109/ULTSYM.2009.5441432, Elsevier: Scopus)
65.	Hirofumi Taki, Takuya Sakamoto, Toru Sato, Makoto Yamakawa and Tsuyoshi Shiina : Small calculus detection for medical acoustic imaging using cross-correlation between echo signals, Proc. of 2009 IEEE International Ultrasonics Symposium, 2398-2401, Sep. 2009. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2009.5441404 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77952804732 (DOI: 10.1109/ULTSYM.2009.5441404, Elsevier: Scopus)
66.	Shuhui Bu, Tsuyoshi Shiina and Makoto Yamakawa : A high performance spatio-temporal displacement smoothing method for myocardial strain imaging, Proc. of 2009 IEEE International Ultrasonics Symposium, 1415-1418, Sep. 2009. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2009.5442020 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77952840460 (DOI: 10.1109/ULTSYM.2009.5442020, Elsevier: Scopus)
67.	Takeshi Matsumura, Takeshi Umemoto, Yoko Fujihara, Ei Ueno, Makoto Yamakawa, Tsuyoshi Shiina and Tsuyoshi Mitake : Measurement of elastic property of breast tissue for elasticity imaging, Proc. of 2009 IEEE International Ultrasonics Symposium, 1451-1454, Sep. 2009. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2009.5442044 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-77952858352 (DOI: 10.1109/ULTSYM.2009.5442044, Elsevier: Scopus)
68.	Takeshi Umemoto, Ei Ueno, Yoko Fujihara, Takeshi Matsumura, Eriko Tohno, Hiroko Kiyomatsu, Makoto Yamakawa and Tsuyoshi Shiina : Elastic moduli of invasive carcinoma of the breast compared with US elastography findings, Ultrasound in Medicine & Biology, 35, 8, S155, Aug. 2009.
69.	Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa and Hotaka Takizawa : Adaptive dynamic grid interpolation: A robust, high-performance displacement smoothing filter for myocardial strain imaging, Proc. of 2008 IEEE International Ultrasonics Symposium, 753-756, Nov. 2008. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2008.0180 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-67649340958 (DOI: 10.1109/ULTSYM.2008.0180, Elsevier: Scopus)
70.	Makoto Yamakawa, Shuhui Bu and Tsuyoshi Shiina : Robust strain estimation using adaptive dynamic grid interpolation model, Proc. of 2008 IEEE International Ultrasonics Symposium, 2021-2024, Nov. 2008. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2008.0498 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-67649379413 (DOI: 10.1109/ULTSYM.2008.0498, Elsevier: Scopus)
71.	Tsuyoshi Shiina, Masashi Yoshida, Makoto Yamakawa and Naotaka Nitta : Microscopic measurement of three-dimensional distribution of tissue viscoelasticity, Acoustical Imaging, 29, 11-17, Apr. 2008.
72.	Masakazu Yamazaki, Tsuyoshi Shiina, Makoto Yamakawa, Hotaka Takizawa, Akiko Tonomura and Tsuyoshi Mitake : Development of CAD system for diffuse disease based on ultrasound elasticity images, Acoustical Imaging, 29, 451-456, Apr. 2008.
73.	Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa and Hotaka Takizawa : 3D myocardial strain imaging: Improvement of accuracy and contrast by dynamic grid interpolation, Proc. of 2007 IEEE International Ultrasonics Symposium, 1937-1940, Oct. 2007.
74.	Tsuyoshi Shiina, Masashi Yoshida, Makoto Yamakawa and Naotaka Nitta : Microscopic measurement of three-dimensional distribution of tissue viscoelasticity, Proc. of 2007 IEEE International Ultrasonics Symposium, 2036-2039, Oct. 2007. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2007.512 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-48149092423 (DOI: 10.1109/ULTSYM.2007.512, Elsevier: Scopus)
75.	Takeshi Matsumura, Tsuyoshi Mitake, Tsuyoshi Shiina, Makoto Yamakawa, Ei Ueno, Nobuhiro Fukunari and Kumi Tanaka : Real-time tissue elasticity system -Development and clinical application, The Journal of the Acoustical Society of America, 120, 5, 3268-3269, Nov. 2006.
76.	Tsuyoshi Shiina, Masashi Yoshida, Makoto Yamakawa, Naotaka Nitta and Tsuyoshi Mitake : Development of a three-dimensional tissue elasticity microscope, Proc. of the Fifth International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 124, Oct. 2006.
77.	Makoto Yamakawa, Akiko Tonomura, Takashi Ohsaka, Kiyoko Uno and Tsuyoshi Shiina : Tissue elasticity imaging for disease in the anechoic region, Proc. of 2006 IEEE International Ultrasonics Symposium, 1246-1249, Oct. 2006. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2006.316 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-78649385884 (DOI: 10.1109/ULTSYM.2006.316, Elsevier: Scopus)
78.	Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina and Naotaka Nitta : Experimental investigation of 2D myocardial strain imaging, Proc. of World Congress on Medical Physics and Biomedical Engineering 2006, 1587-1590, Aug. 2006. (Link to Publication Site) ● Publication site (DOI): 10.1007/978-3-540-36841-0_389 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-84958240715 (DOI: 10.1007/978-3-540-36841-0_389, Elsevier: Scopus)
79.	Ei Ueno, Eriko Tohno, Kouji Waki, Hiroko Bando, Tsuyoshi Shiina and Makoto Yamakawa : Usefulness of fat-lesion ratio in breast elastography, Ultrasound in Medicine and Biology, 32, 5, 173, May 2006.
80.	Tsuyoshi Shiina, Makoto Yamakawa, Ako Itoh, Hiroko Bando, Eriko Tohno, Ei Ueno, Takeshi Matsumura and Tsuyoshi Mitake : Categorization of elasticity image patterns and its application to computer aided diagnosis, Ultrasound in Medicine and Biology, 32, 5, 172, May 2006.
81.	Akiko Tonomura, Takashi Osaka, Takeshi Matsumura, Ryuichi Shinomura, Tsuyoshi Mitake, Masahiro Suda, Makoto Yamakawa, Kiyoko Uno and Tsuyoshi Shiina : Application of elasticity imaging to evaluation of deep venous thrombosis: Preliminary study, Ultrasound in Medicine and Biology, 32, 5, 286, May 2006.
82.	Tsuyoshi Shiina, Makoto Yamakawa, Ako Ito, Eriko Tohno, Ei Ueno, Takeshi Matsumura and Tsuyoshi Mitake : Computer aided diagnosis of breast cancer based on elasticity images, Proc. of the Fourth International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 84, Oct. 2005.
83.	Takeshi Matsumura, Ryuichi Shinomura, Tsuyoshi Mitake, Hiroshi Kanda, Makoto Yamakawa and Tsuyoshi Shiina : Estimation of pressure-distribution effects upon elasticity imaging, Proc. of 2005 IEEE International Ultrasonics Symposium, 1759-1762, Sep. 2005. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2005.1603207 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-33847154581 (DOI: 10.1109/ULTSYM.2005.1603207, Elsevier: Scopus)
84.	Makoto Yamakawa, Tsuyoshi Shiina, Takeshi Matsumura and Tsuyoshi Mitake : Fast reconstruction of quantitative tissue elasticity image based on modified 3-D finite-element model, Proc. of 2005 IEEE International Ultrasonics Symposium, 1763-1766, Sep. 2005. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2005.1603208 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-33847124399 (DOI: 10.1109/ULTSYM.2005.1603208, Elsevier: Scopus)
85.	Tsuyoshi Shiina and Makoto Yamakawa : Fast reconstruction of tissue elastic modulus image by ultrasound, Proc. of 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 976-980, Sep. 2005. (Link to Publication Site) ● Publication site (DOI): 10.1109/iembs.2005.1616580 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-33846916694 (DOI: 10.1109/iembs.2005.1616580, Elsevier: Scopus)
86.	Takeshi Matsumura, Satoshi Tamano, Ryuichi Shinomura, Tsuyoshi Mitake, Makoto Yamakawa, Tsuyoshi Shiina, Ako Itoh and Ei Ueno : Preliminary evaluation of breast disease diagnosis based on real-time elasticity imaging, Proc. of the Third International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 58, Oct. 2004.
87.	Makoto Yamakawa and Tsuyoshi Shiina : Two-dimensional elastic modulus distribution reconstruction based on a modified three-dimensional finite-element model, Proc. of the Third International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 108, Oct. 2004.
88.	Takeshi Matsumura, Satoshi Tamano, Ryuichi Shinomura, Tsuyoshi Mitake, Makoto Yamakawa, Tsuyoshi Shiina, Ako Itoh and Ei Ueno : Diagnostic results for breast disease by real-time elasticity imaging system, Proc. of 2004 IEEE International Ultrasonics Symposium, 1484-1487, Aug. 2004. (Link to Publication Site) ● Publication site (DOI): 10.1109/ULTSYM.2004.1418083 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-21644452213 (DOI: 10.1109/ULTSYM.2004.1418083, Elsevier: Scopus)
89.	Ako Itoh, Ei Ueno, Eriko Tohno, Hiroshi Kamma, Hideto Takahashi, Tsuyoshi Shiina, Makoto Yamakawa and Takeshi Matsumura : Comparison between ultrasonic elastogram and histologic findings in breast diseases, Proc. of Seventh Congress of Asian Federation of societies for ultrasound in Medicine and Biology, 330, May 2004.
90.	Tsuyoshi Shiina, Makoto Yamakawa, Naotaka Nitta and Ei Ueno : Recent progress of ultrasound elasticity imaging technology, Proc. of Seventh Congress of Asian Federation of societies for ultrasound in Medicine and Biology, 59-63, May 2004. (Link to Publication Site) ● Publication site (DOI): 10.1016/j.ics.2004.07.054 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-33745197901 (DOI: 10.1016/j.ics.2004.07.054, Elsevier: Scopus)
91.	Naoto Miyanaga, Hideyuki Akaza, Makoto Yamakawa, Takeshi Matsumura, Takehiro Oikawa, Noritoshi Sekido, Shiro Hinotsu, Kazunori Hattori, Koji Kawai, Toru Shimazui, Naotaka Nitta and Tsuyoshi Shiina : Tissue elasticity imaging for prostate diagnosis, The Journal of Urology, 171, 4S, 474-475, May 2004.
92.	Naotaka Nitta, Tsuyoshi Shiina and Makoto Yamakawa : A new method of myocardial strain imaging by ultrasound, Proc. of 18th International Congress on Acoustics, 893-896, Apr. 2004.
93.	Tsuyoshi Shiina, Makoto Yamakawa, Naotaka Nitta, Ei Ueno, Takeshi Matsumura, Satoshi Tamano and Tsuyoshi Mitake : Real-time tissue elasticity imaging system, Proc. of 18th International Congress on Acoustics, 897-898, Apr. 2004.
94.	Tsuyoshi Shiina, Makoto Yamakawa, Naotaka Nitta, Ei Ueno, Takeshi Matsumura, Satoshi Tamano and Tsuyoshi Mitake : Breast and prostate cancer diagnosis by real-time tissue elasticity imaging system -A feasibility study, Proc. of the Second International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 60, Oct. 2003.
95.	Naotaka Nitta, Yuka Aoki, Makoto Yamakawa and Tsuyoshi Shiina : Novel myocardial strain imaging based on 3-D displacement vector measurement, Proc. of the Second International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 65, Oct. 2003.
96.	Tsuyoshi Shiina, Makoto Yamakawa, Naotaka Nitta, Ei Ueno, Takeshi Matsumura, Satoshi Tamano and Tsuyoshi Mitake : Clinical assessment of real-time, freehand elasticity imaging system based on the combined autocorrelation method, Proc. of 2003 IEEE International Ultrasonics Symposium, 664-667, Oct. 2003. (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-4143094992 (Elsevier: Scopus)
97.	Makoto Yamakawa, Naotaka Nitta, Tsuyoshi Shiina, Takeshi Matsumura, Satoshi Tamano, Tsuyoshi Mitake, Naoto Miyanaga and Hideyuki Akaza : A feasibility study of prostate needle biopsy supported by freehand elasticity imaging, Proc. of 2003 IEEE International Ultrasonics Symposium, 1254-1257, Oct. 2003. (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-4143052251 (Elsevier: Scopus)
98.	Tsuyoshi Shiina, Makoto Yamakawa, Naotaka Nitta, Ei Ueno, Takeshi Matsumura, Satoshi Tamano and Tsuyoshi Mitake : Real-time robust imaging of tissue elasticity based on the extended combined autocorrelation method, Proc. of the First International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 40, Oct. 2002.
99.	Takeshi Matsumura, Satoshi Tamano, Tsuyoshi Mitake, Tsuyoshi Shiina, Makoto Yamakawa, Naotaka Nitta and Ei Ueno : Development of freehand ultrasound elasticity imaging system and in-vivo results, Proc. of the First International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 80, Oct. 2002.
100.	Naotaka Nitta, Makoto Yamakawa, Tsuyoshi Shiina, Ei Ueno, Marvin M. Doyley and Jeffrey Bamber : Tissue elasticity imaging based on combined autocorrelation method and 3-D tissue model, Proc. of 1998 IEEE International Ultrasonics Symposium, 1447-1450, Oct. 1998. (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-0032283772 (Elsevier: Scopus)

Patent:

1.	椎名毅 and Makoto Yamakawa : 光超音波画像生成装置，光超音波画像生成方法，及び光超音波画像生成プログラム, 2023-056439 (Mar. 2023), 2024-143659 (Oct. 2024), 2023056439 (Oct. 2024).
2.	長永兼一, 東政孝, 椎名毅, 浪田健, Makoto Yamakawa and 近藤健悟 : 被検体情報取得装置, 2018-165938 (Sep. 2018), 2018-187474 (Nov. 2018), 6563097 (Aug. 2019).
3.	長永兼一, 東政孝, 椎名毅, 浪田健, Makoto Yamakawa and 近藤健悟 : 被検体情報取得装置, 2014-242443 (Nov. 2014), 2016-101414 (Jun. 2016), 6399911 (Sep. 2018).
4.	Makoto Yamakawa, 椎名毅, 大坂卓司 and 三竹毅 : 生体組織の弾性特性を求める方法, 2014-080516 (Apr. 2014), 2015-198843 (Nov. 2015), 6393502 (Aug. 2018).
5.	近藤健悟, Makoto Yamakawa and 椎名毅 : 超音波診断装置および超音波診断方法, 2015-508691 (Mar. 2014), WO2014/157510 (Oct. 2014), 6355624 (Jun. 2018).
6.	Makoto Yamakawa, 椎名毅, 及川克哉 and 長永兼一 : 被検体情報取得装置, 2012-087762 (Apr. 2012), 2012-223565 (Nov. 2012), 6039220 (Nov. 2016).
7.	長永兼一, 近藤健悟, Makoto Yamakawa and 椎名毅 : 被検体情報取得装置, 2011-243483 (Nov. 2011), 2013-099370 (May 2013), 5967901 (Jul. 2016).
8.	Makoto Yamakawa, 椎名毅 and 及川克哉 : 被検体情報取得装置, 2011-118095 (May 2011), 2012-245105 (Dec. 2012), 5930611 (May 2016).
9.	椎名毅 and Makoto Yamakawa : 超音波診断システム，歪み分布表示方法及び弾性係数分布表示方法, 2008-017502 (Jan. 2008), 2008-136880 (Jun. 2008), 4389091 (Oct. 2009).
10.	松村剛, 椎名毅 and Makoto Yamakawa : 超音波診断装置, 2008-533132 (Aug. 2007), WO2008/029728 (Mar. 2008), 5075830 (Aug. 2012).
11.	椎名毅, 滝沢穂高, Makoto Yamakawa, 中川秀紀 and 近藤健悟 : 携帯端末を利用した医療教育ネットワークシステム, 2007-052296 (Mar. 2007), 2008-217293 (Sep. 2008), 2008217293 (Sep. 2008).
12.	椎名毅, 滝沢穂高, Makoto Yamakawa and 中川秀紀 : 携帯端末を利用した医療用通信装置, 2007-052297 (Mar. 2007), 2008-217294 (Sep. 2008), 2008217294 (Sep. 2008).
13.	松村剛, 玉野聡, 三竹毅, 椎名毅 and Makoto Yamakawa : 超音波診断装置, 2007-011412 (Jan. 2007), 2007-098180 (Apr. 2007), 4615528 (Oct. 2010).
14.	脇康治, 椎名毅, Makoto Yamakawa and 前田優 : 弾性像表示方法及び超音波診断装置, 2006-525002 (Aug. 2005), WO2006/013916 (Feb. 2006), 3991282 (Aug. 2007).
15.	松村剛, 玉野聡, 三竹毅, 椎名毅 and Makoto Yamakawa : 超音波診断装置, 2002-304399 (Oct. 2002), 2004-135929 (May 2004), 3932482 (Mar. 2007).
16.	椎名毅 and Makoto Yamakawa : 超音波診断システム，歪み分布表示方法及び弾性係数分布表示方法, 2002-222868 (Jul. 2002), 2004-057652 (Feb. 2004), 4258015 (Feb. 2009).
17.	椎名毅, 新田尚隆 and Makoto Yamakawa : 超音波診断システム，歪み分布表示方法及び弾性係数分布表示方法, 2002-222869 (Jul. 2002), 2004-057653 (Feb. 2004), 4221555 (Nov. 2008).

Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)

超音波アレイセンサの仮想的な高密度化・大開口化による高画質光音響イメージング (Project/Area Number: 25K15967 )
Development of high-resolution 3D photoacoustic-ultrasound hybrid imaging system (Project/Area Number: 25K03486 )
Evaluation of the importance of training data quality in AI for liver tumor ultrasound diagnosis (Project/Area Number: 22K12863 )
Development of advanced photoacoustic imaging system based on integration of optics and ultrasound and control of optical phase space (Project/Area Number: 16H01856 )
Ultrasound viscoelastography: development of quantitative imaging of tissue viscoelasticity based on fusion of static and dynamic tissue excitation (Project/Area Number: 25242049 )
Development of tissue viscoelasticity imaging technology based on high frame rate ultrasound imaging method (Project/Area Number: 25870376 )
Coded pulse excitation for enhanced ultrafast ultrasound imaging (Project/Area Number: 25560236 )
Development of advanced bioimaging technology based on integration of optics and ultrasound by spatio-temporal modulation (Project/Area Number: 22240063 )
Ultrasound Satellite-View Imaging : Development of Integrated Imaging Technology for Diagnosis of Biological Function and Tissue Characteristics (Project/Area Number: 19300180 )
三次元超音波エラストマイクロスコープの開発 (Project/Area Number: 17650147 )
Development of Endoscopic Ultrasound System for Tissue Elasticity Imaging (Project/Area Number: 16300169 )
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Designated Professor : Yamakawa, Makoto

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Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)