Tokushima University / Educator and Researcher Directory --- Matsumoto, Yuki

Personal Web Page

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

Field of Study

○	Life sciences [Radiology]

Subject of Study

Book / Paper

Book:

1.	Yuki Matsumoto : RSNA2022印象記 MRIを中心にしたトピックス, Sangyo Kaihatsukiko Inc., Feb. 2023.
2.	Yuki Matsumoto : RSNA2021印象記 MRIを中心にしたトピックス, Sangyo Kaihatsukiko Inc., Mar. 2022.
3.	Yuki Matsumoto : RSNA2020印象記 MRIを中心にしたトピックス, Sangyo Kaihatsukiko Inc., Feb. 2021.
4.	Yuki Matsumoto and Masafumi Harada : RSNA2019印象記 MRIを中心にしたトピックス, Sangyo Kaihatsukiko Inc., Feb. 2020.
5.	Yuki Matsumoto and Masafumi Harada : RSNA2018印象記 MRIを中心にしたトピックス, Sangyo Kaihatsukiko Inc., Tokyo, Feb. 2019.

Academic Paper (Judged Full Paper):

1.	Shun Kitano, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Hiroaki Hayashi, Yuki Matsumoto, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Conversion Map from Quantitative Parameter Mapping to Myelin Water Fraction: Comparison with R1·R2* and Myelin Water Fraction in White Matter., Magma, 2024. (Summary) To clarify the relationship between myelin water fraction (MWF) and R⋅R and to develop a method to calculate MWF directly from parameters derived from QPM, i.e., MWF converted from QPM (MWF). Subjects were 12 healthy volunteers. On a 3 T MR scanner, dataset was acquired using spoiled gradient-echo sequence for QPM. MWF and R⋅R maps were derived from the multi-gradient-echo (mGRE) dataset. Volume-of-interest (VOI) analysis using the JHU-white matter (WM) atlas was performed. All the data in the 48 WM regions measured VOI were plotted, and quadratic polynomial approximations of each region were derived from the relationship between R·R and the two-pool model-MWF. The R·R map was converted to MWF map. MWF atlas template was generated using converted to MWF from R·R per WM region. The mean MWF and R·R values for the 48 WM regions were 11.96 ± 6.63%, and 19.94 ± 4.59 s, respectively. A non-linear relationship in 48 regions of the WM between MWF and R·R values was observed by quadratic polynomial approximation (R ≥ 0.963, P < 0.0001). MWF map improved image quality compared to the mGRE-MWF map. Myelin water atlas template derived from MWF may be generated with combined multiple WM regions. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10334-024-01155-w (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 38581455 ● Search Scopus @ Elsevier (PMID): 38581455 ● Search Scopus @ Elsevier (DOI): 10.1007/s10334-024-01155-w (DOI: 10.1007/s10334-024-01155-w, PubMed: 38581455)
2.	Natsuki Ikemitsu, Yuki Kanazawa, Akihiro Haga, Hiroaki Hayashi, Yuki Matsumoto and Masafumi Harada : Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation, Acta Radiologica, Vol.65, No.4, 359-366, 2024. (Summary) To evaluate the degree of cerebral atrophy for Alzheimer's disease (AD), voxel-based morphometry has been performed with magnetic resonance imaging. Detailed morphological changes in a specific tissue area having the most evidence of atrophy were not considered by the machine-learning technique. To develop a machine-learning system that can capture morphology features for determination of atrophy of brain tissue in early-stage AD and classification of healthy participants or patients. Three-dimensional T1-weighted (3D-T1W) data were obtained from AD Neuroimaging Initiative (200 healthy controls and 200 patients with early-stage AD). Automated segmentation of 3D-T1W data was performed. Deep learning (DL) and support vector machine (SVM) were trained using 66-segmented volume values as input and AD diagnosis as output. DL was performed using 66 volume values or gray matter (GM) and white matter (WM) volume values. SVM learning was performed using 66 volume values and six regions with high variable importance. 3D convolutional neural network (3D-CNN) was trained using the segmented images. Accuracy and area under curve (AUC) were obtained. Variable importance was evaluated from logistic regression analysis. DL for GM and WM volume values, accuracy 0.6; SVM for all volume values, accuracy 0.82 and AUC 0.81; DL for all volume values, accuracy 0.82 and AUC 0.8; 3D-CNN using segmental images of the whole brain, accuracy 0.5 and AUC 0.51. SVM using volume values of six regions, accuracy 0.82; image-based 3D-CNN, highest accuracy 0.69. Our results show that atrophic features are more considerable than morphological features in the early detection of AD. (Keyword) Alzheimer's disease / magnetic resonance imaging / convolutional neural network / deep learning / support vector machine (Link to Publication Site) ● Publication site (DOI): 10.1177/02841851231218384 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 38196180 ● Search Scopus @ Elsevier (PMID): 38196180 ● Search Scopus @ Elsevier (DOI): 10.1177/02841851231218384 (DOI: 10.1177/02841851231218384, PubMed: 38196180)
3.	Yuki Kanazawa, Natsuki Ikemitsu, Yuki Kinjyo, Masafumi Harada, Hiroaki Hayashi, Yo Taniguchi, Kosuke Ito, Yoshitaka Bito, Yuki Matsumoto and Akihiro Haga : Differences of white matter structure for diffusion kurtosis imaging using voxel-based morphometry and connectivity analysis, BJR Open, Vol.6, No.1, 1-7, 2024. (Summary) In a clinical study, diffusion kurtosis imaging (DKI) has been used to visualize and distinguish white matter (WM) structures' details. The purpose of our study is to evaluate and compare the diffusion tensor imaging (DTI) and DKI parameter values to obtain WM structure differences of healthy subjects. Thirteen healthy volunteers (mean age, 25.2 years) were examined in this study. On a 3-T MRI system, diffusion dataset for DKI was acquired using an echo-planner imaging sequence, and T-weghted (Tw) images were acquired. Imaging analysis was performed using Functional MRI of the brain Software Library (FSL). First, registration analysis was performed using the Tw of each subject to MNI152. Second, DTI (eg, fractional anisotropy [FA] and each diffusivity) and DKI (eg, mean kurtosis [MK], radial kurtosis [RK], and axial kurtosis [AK]) datasets were applied to above computed spline coefficients and affine matrices. Each DTI and DKI parameter value for WM areas was compared. Finally, tract-based spatial statistics (TBSS) analysis was performed using each parameter. The relationship between FA and kurtosis parameters (MK, RK, and AK) for WM areas had a strong positive correlation (FA-MK, = 0.93; FA-RK, = 0.89) and a strong negative correlation (FA-AK, = 0.92). When comparing a TBSS connection, we found that this could be observed more clearly in MK than in RK and FA. WM analysis with DKI enable us to obtain more detailed information for connectivity between nerve structures. Quantitative indices of neurological diseases were determined using segmenting WM regions using voxel-based morphometry processing of DKI images. (Link to Publication Site) ● Publication site (DOI): 10.1093/bjro/tzad003 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 38352183 ● Search Scopus @ Elsevier (PMID): 38352183 ● Search Scopus @ Elsevier (DOI): 10.1093/bjro/tzad003 (DOI: 10.1093/bjro/tzad003, PubMed: 38352183)
4.	Wataru Sako, Shotaro Haji, Takashi Abe, Yusuke Osaki, Yuki Matsumoto, Masafumi Harada and Yuishin Izumi : M1/precuneus ratio as a surrogate marker of upper motor neuron sign in ALS, Journal of the Neurological Sciences, Vol.445, 120548, 2023. (Summary) To investigate whether primary motor cortex (M1) volume measured with an automated approach in MRI reflects upper motor neuron dysfunction and whether it can serve as a potential diagnostic and/or disease-tracking biomarker for amyotrophic lateral sclerosis (ALS). In this retrospective study, we enrolled 95 subjects, including 33 possible or laboratory supported probable ALS, 26 probable or definite ALS (Prob/Def), 2 primary lateral sclerosis patients, 8 progressive muscular atrophy patients, 19 normal controls (NC) and 7 ALS patients having a second structural MRI scan. Some subjects also underwent functional MRI. We calculated M1, primary sensory cortex, precuneus volumes, and total gray matter volume (TGMV) with FreeSurfer. The sensorimotor network (SMN) was identified using independent component analysis. The M1/precuneus ratio showed a significant difference between the NC and Prob/Def groups (p < 0.05). The diagnostic accuracy of the M1/precuneus ratio was moderate for distinguishing Prob/Def from NC (cutoff = 1.00, sensitivity = 0.42, specificity = 0.90). Two of eight cases without upper motor neuron dysfunction could be diagnosed with ALS using M1/precuneus ratio as a surrogate marker. A negative correlation between M1/precuneus ratio and functional activity was found in Brodmann area 6 in the SMN in all subjects. TGMV tended to decrease with disease progression (p = 0.04). The M1/precuneus volume ratio, associated with the SMN, may have potential as a surrogate biomarker of upper motor neuron dysfunction in ALS. Furthermore, TGMV may serve as an ALS disease-tracking biomarker. (Keyword) Humans / Amyotrophic Lateral Sclerosis / Retrospective Studies / Magnetic Resonance Imaging / Parietal Lobe / Motor Cortex / Biomarkers / Motor Neurons / Motor Neuron Disease (Link to Publication Site) ● Publication site (DOI): 10.1016/j.jns.2023.120548 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 36640663 ● Search Scopus @ Elsevier (PMID): 36640663 ● Search Scopus @ Elsevier (DOI): 10.1016/j.jns.2023.120548 (DOI: 10.1016/j.jns.2023.120548, PubMed: 36640663)
5.	Yuki Kanazawa, KITANO Shun, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Myelin Water Atlas Template Derived from Quantitative Parameter Mapping, Proceedings of ISMRM, Vol.32, No.2630, 2023.
6.	Yuki Kanazawa, Tosiaki Miyati, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Yasuhisa Kanematsu and Yasushi Takagi : Evaluation of Biological Metabolic Activity within an Atherosclerotic Plaque using Chemical Exchange Saturation Transfer Imaging, Proceedings of ISMRM, Vol.32, No.2982, 2023.
7.	Mayuka Seguchi, Yuki Kanazawa, Tosiaki Miyati, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Yasuhisa Kanematsu and Yasushi Takagi : Diffusion weighted-viscosity imaging for atherosclerotic plaques, Proceedings of ISMRM, Vol.32, No.1519, 2023.
8.	Taku Matsuda, Ryoma Morigaki, Yuki Matsumoto, Hideo Mure, Kazuhisa Miyake, Masahito Nakataki, Masafumi Harada and Yasushi Takagi : Obsessivecompulsive symptoms are negatively correlated with motor severity in patients with generalized dystonia, Scientific Reports, Vol.12, No.1, 20350, 2022. (Summary) We aimed to clarify the correlations between motor symptoms and obsessive-compulsive symptoms and between the volumes of basal ganglia components and obsessive-compulsive symptoms. We retrospectively included 14 patients with medically intractable, moderate and severe generalized dystonia. The Burke-Fahn-Marsden Dystonia Rating Scale and Maudsley Obsessional Compulsive Inventory were used to evaluate the severity of dystonia and obsessive-compulsive symptoms, respectively. Patients with generalized dystonia were divided into two groups; patients whose Maudsley Obsessional Compulsive Inventory score was lower than 13 (Group 1) and 13 or more (Group 2). Additionally, the total Maudsley Obsessional Compulsive Inventory scores in patients with dystonia were significantly higher than normal volunteers' scores (p = 0.025). Unexpectedly, Group 2 (high Maudsley Obsessional Compulsive Inventory scores) showed milder motor symptoms than Group 1 (low Maudsley Obsessional Compulsive Inventory scores) (p = 0.016). "Checking" rituals had a strong and significant negative correlation with the Burke-Fahn-Marsden Dystonia Rating Scale (ϱ = - 0.71, p = 0.024) and a strong positive correlation with the volumes of both sides of the nucleus accumbens (right: ϱ = 0.72, p = 0.023; left: ϱ = 0.70, p = 0.034). Our results may provide insights into the pathogenesis of obsessive-compulsive disorder and dystonia. (Keyword) Humans / Dystonia / Retrospective Studies / Dystonic Disorders / Heredodegenerative Disorders, Nervous System (Link to Publication Site) ● Publication site (DOI): 10.1038/s41598-022-24826-x (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 36437372 ● Search Scopus @ Elsevier (PMID): 36437372 ● Search Scopus @ Elsevier (DOI): 10.1038/s41598-022-24826-x (DOI: 10.1038/s41598-022-24826-x, PubMed: 36437372)
9.	Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Hiroaki Hayashi, Takashi Abe, Maki Ohtomo, Yuki Matsumoto, Masaharu Ono, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Myelin-weighted imaging derived from quantitative parameter mapping, European Journal of Radiology, Vol.156, No.110525, 1-9, 2022. (Summary) We developed a novel method which is applicable to visualize contrast according to myelin components in the human brain using relaxation time derived from quantitative parameter mapping magnetic resonance imaging (QPM-MRI). Using healthy volunteer data (n = 10), we verified that our method demonstrated that the myelin-weighted contrast increased proportionally by products R and R, i.e., QPM-myelin-weighted image, in which modified T-weighted/T-weighted (Tw/Tw) ratio mapping method was applied. We compared measurement values in white matter (WM) and gray matter (GM) regions of the Tw/Tw ratio and R·R product maps of healthy volunteers. Linear regression analysis between each value. Mann Whitney U test between WM and GM signals in each myelin map. In addition, Additionally, QPM-myelin-weighted image was applied to a 32-year-old female MS patient. Linear regression analysis showed a highly significant correlation between conventional Tw/Tw ratios and R·R* products derived from QPM (R = 0.73, P < 0.0001). Moreover, there is a significant difference between WM and GM structures in each myelin images (both, P < 0.0001). Additionally, in a clinical case, MS lesions enabled observation of not only MS plaques but also heterogeneous myelin signal loss associated with demyelination more clearly than Tw image and conventional Tw/Tw ratio image. Our myelin-weighted imaging technique using QPM may be useful for myelin visualization and is expected to become independent of measurement conditions due to having quantitative characteristics of QPM itself. (Link to Publication Site) ● Publication site (DOI): 10.1016/j.ejrad.2022.110525 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 36166986 ● Search Scopus @ Elsevier (PMID): 36166986 ● Search Scopus @ Elsevier (DOI): 10.1016/j.ejrad.2022.110525 (DOI: 10.1016/j.ejrad.2022.110525, PubMed: 36166986)
10.	Natsuki Ikemitsu, Yuki Kanazawa, Masafumi Harada, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yo Taniguchi, Yoshitaka Bito and Akihiro Haga : Determination of white matter structure index for voxel basedmorphometry and connectivity analysis., European Congress of Radiology (EPOS), 10, 2022.
11.	Nagomi Fukuda, Yuki Kanazawa, Hiroaki Hayashi, Yuki Matsumoto, Masafumi Harada, Motoharu Sasaki and Akihiro Haga : Development of a B1 correction method without additional scanning VFA T1 map., European Congress of Radiology (EPOS), 10, 2022.
12.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi and Yuki Matsumoto : Evaluation of brain tumor and surrounding tissue activity using multi-pool CEST imaging on 3 Tesla scanner, Proceedings of ISMRM, Vol.31, No.4285, 2022.
13.	Nagomi Fukuda, Yuki Kanazawa, Hiroaki Hayashi, Yuki Matsumoto, Masafumi Harada, Motoharu Sasaki and Akihiro Haga : Development of self-calibrating B1 correction for three-dimensional variable flip angle T1 mapping, Proceedings of ISMRM, Vol.31, No.3218, 2022.
14.	Shun Kitano, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Conversion map from quantitative parameter mapping to myelin water fraction, Proceedings of ISMRM, Vol.31, No.3052, 2022.
15.	Natsuki Ikemitsu, Yuki Kanazawa, Akihiro Haga, Hiroaki Hayashi, Yuki Matsumoto and Masafumi Harada : Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation., Proceedings of ISMRM, Vol.31, No.3263, 2022.
16.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Yo Taniguchi, Masaharu Ono and Yoshitaka Bito : Quantitative parameter mapping of contrast agent concentration and relaxivity and brain tumor extracellular pH, Scientific Reports, 2022. (Summary) In clinical magnetic resonance imaging, gadolinium-based contrast agents are commonly usedfor detecting brain tumors and evaluating the extent of malignancy. We present a new method toevaluate relaxivity (r1) and contrast agent concentration separately in contrast-enhanced lesions usingquantitative parameter mapping (QPM). Furthermore, we also aimed to estimate the extracellularpH (pHe) of tumor lesions. We demonstrated that it is possible to evaluate pathophysiological tumorchanges due to therapeutic efficacy by measuring r1 in contrast-enhanced lesions. In this study, theprimary brain tumor group showed significantly higher r1 values than other brain disease groups(P< 0.001). Moreover, mean pHe value showed a trend for tumor malignancy having a lower pHevalue and primary brain tumor having a significantly lower pHe than other brain diseases (P< 0.001).Our results might suggest that QPM can separately quantify r1 and CA concentration in brain tumorsand that pHe brain tumor mapping could serve as a tumor biomarker. In conclusion, our method haspotential clinical applications for assessing the treatment effects. (Keyword) MRI / brain tumor / medical image (Tokushima University Institutional Repository) ● Metadata: 116994 (Link to Publication Site) ● Publication site (DOI): 10.1038/s41598-022-05711-z (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1038/s41598-022-05711-z (Tokushima University Institutional Repository: 116994, DOI: 10.1038/s41598-022-05711-z)
17.	Madoka Kohno, ANAYT ULLA, Rina Taniguchi, Akane Ohishi, Kako Hirayama, Yuma Takemura, Shoichiro Takao, Yuki Kanazawa, Yuki Matsumoto, Masafumi Harada, Tomoya Fukawa, Hiro-omi Kanayama, Takayuki Uchida, Toshio Suzuki and Takeshi Nikawa : Daily Dietary Supplementation with Steamed Soybean Improves Muscle Volume and Strength in Healthy People Lacking Exercise., Journal of Nutritional Science and Vitaminology, Vol.68, No.6, 521-526, 2022. (Summary) Various dietary protein supplements are used by the elderly and bedridden to maintain their skeletal muscle mass and functions. High-quality proteins act as an anabolic driver and help to improve muscle strength and performance. Previously, we reported that soy protein significantly attenuates denervation-induced loss of muscle mass and myofiber cross sectional area in mice with inhibition of ubiquitination and degradation of IRS-1 in tibialis anterior muscle. It also increased muscle volume and strength in bedridden patients. In the present study, we investigated the effects of dietary soybean supplementation on muscle functions in taxi drivers lacking vigorous physical exercise. We conducted a case-control study on 25 healthy, male taxi drivers between the ages of 36 and 71 y performing minimal physical exercise. They were divided into two dietary groups: the soybean diet group (n=13) who ate daily meals (dinner) supplemented with 50 g of steamed soybean for 30 d and the control diet group (n=12) who received no soybean supplement. Next, we measured the muscle cross-sectional area (CSA) and muscle strength and function in both the groups before and after 30 d of soybean intake. The body weights of both diet groups did not differ significantly over time. However, after 30 d of soybean supplementation, the soybean-fed group developed significantly higher muscle CSA and grip strength compared to the control groups. In conclusion, dietary soybean supplementation improved muscle function in taxi drivers who lacked exercise. (Keyword) Male / Animals / Mice / Soybeans / Case-Control Studies / Muscle, Skeletal / Dietary Supplements / Muscle Strength / Dietary Proteins (Link to Publication Site) ● Publication site (DOI): 10.3177/jnsv.68.521 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 36596550 ● CiNii @ National Institute of Informatics (CRID): 1390576118538657152 ● Search Scopus @ Elsevier (PMID): 36596550 ● Search Scopus @ Elsevier (DOI): 10.3177/jnsv.68.521 (DOI: 10.3177/jnsv.68.521, PubMed: 36596550, CiNii: 1390576118538657152)
18.	Wataru Sako, Yuishin Izumi, Takashi Abe, Shotaro Haji, Nagahisa Murakami, Yusuke Osaki, Yuki Matsumoto, Masafumi Harada and Ryuji Kaji : MR spectroscopy and imaging-derived measurements in the supplementary motor area for biomarkers of amyotrophic lateral sclerosis, Neurological Sciences, Vol.42, No.10, 4257-4263, 2021. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10072-021-05107-3 (Link to Search Site for Scientific Articles) ● Summary page in Scopus @ Elsevier: 2-s2.0-85100872799 (DOI: 10.1007/s10072-021-05107-3, Elsevier: Scopus)
19.	Naoki Maeda, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Derivation of Water Exchange Constants between Components using Quantitative Parameter Mapping (QPM), Proceedings of ISMRM, Vol.29, No.3069, 2021.
20.	Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Syun Kitano, Nagomi Fukuda, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Myelin imaging derived quantitative parameter mapping compared to myelin water fraction, Proceedings of ISMRM, Vol.29, No.2828, 2021.
21.	Ryoma Morigaki, Ryosuke Miyamoto, Hideo Mure, Koji Fujita, Taku Matsuda, Yoko Yamamoto, Masahito Nakataki, Tetsuya Okahisa, Yuki Matsumoto, Kazuhisa Miyake, Nobuaki Yamamoto, Ryuji Kaji, Yasushi Takagi and Satoshi Goto : Can Pallidal Deep Brain Stimulation Rescue Borderline Dystonia? Possible Coexistence of Functional (Psychogenic) and Organic Components., Brain Sciences, Vol.10, No.9, 636, 2020. (Summary) The diagnosis and treatment of functional movement disorders are challenging for clinicians who manage patients with movement disorders. The borderline between functional and organic dystonia is often ambiguous. Patients with functional dystonia are poor responders to pallidal deep brain stimulation (DBS) and are not good candidates for DBS surgery. Thus, if patients with medically refractory dystonia have functional features, they are usually left untreated with DBS surgery. In order to investigate the outcome of functional dystonia in response to pallidal DBS surgery, we retrospectively included five patients with this condition. Their dystonia was diagnosed as organic by dystonia specialists and also as functional according to the Fahn and Williams criteria or the Gupta and Lang Proposed Revisions. Microelectrode recordings in the globus pallidus internus of all patients showed a cell-firing pattern of bursting with interburst intervals, which is considered typical of organic dystonia. Although their clinical course after DBS surgery was incongruent to organic dystonia, the outcome was good. Our results question the possibility to clearly differentiate functional dystonia from organic dystonia. We hypothesized that functional dystonia can coexist with organic dystonia, and that medically intractable dystonia with combined functional and organic features can be successfully treated by DBS surgery. (Tokushima University Institutional Repository) ● Metadata: 116502 (Link to Publication Site) ● Publication site (DOI): 10.3390/brainsci10090636 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 32942724 ● Search Scopus @ Elsevier (PMID): 32942724 ● Search Scopus @ Elsevier (DOI): 10.3390/brainsci10090636 (Tokushima University Institutional Repository: 116502, DOI: 10.3390/brainsci10090636, PubMed: 32942724)
22.	Maki Ohtomo, Masafumi Harada, Takashi Abe, Yuki Matsumoto, Yumi Abe, Yuki Kanazawa, Mitsuharu Miyoshi, Hiroyuki Kabasawa and Yoshitake Takahashi : Reproducibility and Variability of Quantitative Cerebral Blood Flow Measured by Multi-delay 3D Arterial Spin Labeling According to Sex and Menstrual Cycle, The Journal of Medical Investigation : JMI, Vol.67, No.3.4, 321-327, 2020. (Summary) Purpose : To determine the reproducibility of corrected quantitative cerebral blood flow (qCBF) through measurement of transit flow time using multi-delay three-dimensional pseudo-continuous arterial spin labeling (pCASL) in healthy men and women and to evaluate the differences in qCBF between not only men and women, but also the follicular and luteal phases of the women's menstrual cycle. Methods : The participants were 16 healthy volunteers (8 men and 8 women ; mean age, 25.3 years). Two MRI were conducted for all participants ; female participants were conducted in the follicular and luteal phases. The reproducibility of qCBF values was evaluated by the intraclass correlation coefficient (ICC) and differences between the two groups were estimated by voxel-based morphometry (VBM) analysis. Results : The qCBF values were lower in men than in women, and those in females were significantly different between the follicular and luteal phases (P < 0.05). In VBM analysis, the qCBF values of the lower frontal lobes were significantly higher in women than in men (P < 0.05). The qCBF values of the frontal pole were significantly higher in the follicular phase than in the luteal phase (P < 0.01). Conclusion : Multi-delay pCASL can reveal physiological and sex differences in cerebral perfusion. J. Med. Invest. 67 : 321-327, August, 2020. (Keyword) Neuroimaging / arterial spin labeling (ASL) / cerebral blood flow / 3DSRT / gender difference (Tokushima University Institutional Repository) ● Metadata: 115293 (Link to Publication Site) ● Publication site (DOI): 10.2152/jmi.67.321 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 33148909 ● Search Scopus @ Elsevier (PMID): 33148909 ● Search Scopus @ Elsevier (DOI): 10.2152/jmi.67.321 (Tokushima University Institutional Repository: 115293, DOI: 10.2152/jmi.67.321, PubMed: 33148909)
23.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Takashi Abe, Yuki Matsumoto and Yasushi Takagi : Characterization of Brain Tumors using Amide Proton and Nuclear Overhauser Effect at 3 Tesla MR Scanner, Proceedings of the 28th Virtual Conference of ISMRM, No.1697, 2020.
24.	Yuki Kanazawa, Masafumi Harada, Tosiaki Miyati, Takashi Abe, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Yasuhisa Kanematsu and Yasushi Takagi : Chemical Exchange Saturation Transfer Imaging for Atherosclerotic Plaques, Proceedings of 28th Virtual Meeting of ISMRM, No.2128, 2020.
25.	Yugo Wada, Yuki Kanazawa, Masafumi Harada, Naoki Maeda, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, Mitsuharu Miyoshi and Carl Michael : Multi-components analysis of brain using ultrashort echo time magnetic resonance imaging, European Congress of Radiology (EPOS), No.C-08766, 2020. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2020/C-08766 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2020/C-08766 (DOI: 10.26044/ecr2020/C-08766)
26.	Naoki Maeda, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, Masaharu Ono and Yoshitaka Bito : Multicomponent T1 Relaxometry Analysis using Quantitative Parameter Mapping Magnetic Resonance Imaging, European Congress of Radiology (EPOS), No.C-8678, 2020. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2020/C-08767 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2020/C-08767 (DOI: 10.26044/ecr2020/C-08767)
27.	Tatsuo Mori, Hiromichi Ito, Masafumi Harada, Sonoka Hisaoka, Yuki Matsumoto, Aya Goji, Yoshihiro Toda, Kenji Mori and Shoji Kagami : Multi-delay arterial spin labeling brain magnetic resonance imaging study for pediatric autism., Brain & Development, Vol.42, No.4, 315-321, 2020. (Summary) Arterial spin labeling (ASL) is a non-invasive magnetic resonance imaging (MRI) technique that can measure regional cerebral blood flow (rCBF) without radiation exposure. This study aimed to evaluate rCBF in individuals with autism and their age-matched controls, globally and regionally. (Tokushima University Institutional Repository) ● Metadata: 114394 (Link to Publication Site) ● Publication site (DOI): 10.1016/j.braindev.2020.01.007 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 32088024 ● Search Scopus @ Elsevier (PMID): 32088024 ● Search Scopus @ Elsevier (DOI): 10.1016/j.braindev.2020.01.007 (Tokushima University Institutional Repository: 114394, DOI: 10.1016/j.braindev.2020.01.007, PubMed: 32088024)
28.	Yuki Kanazawa, Chiba Daiki, Masafumi Harada, Miyati Tosiaki, Miyoshi Mitsuharu, Hiroaki Hayashi, Yuki Matsumoto, Takashi Abe and Akihiro Haga : Thermal sensitive pH imaging using CEST, Proceedings of the 27th Annual Meeting of ISMRM, No.3991, 2019.
29.	Yuki Kanazawa, Masafumi Harada, Taniguchi Yo, Hiroaki Hayashi, Takashi Abe, Maki Ohtomo, Yuki Matsumoto, Ono Masafumi, Bito Yoshitaka and Akihiro Haga : Myelin imaging derived from quantitative parameter mapping, Proceedings of the 27th Annual Meeting of ISMRM, No.3313, 2019.
30.	Yuki Kanazawa, Yuki Matsumoto, Masafumi Harada, Hiroaki Hayashi, Tsuyoshi Matsuda and Hideki Otsuka : Appropriate echo time selection for quantitative susceptibility mapping., Radiological Physics and Technology, Vol.12, 185-193, 2019. (Summary) The purpose of our study was to clarify the dependence of quantitative susceptibility mapping (QSM) on echo time (TE). We constructed a phantom consisting of six tubes; three tubes were filled with different concentrations (0.5, 1.0, and 2.5 mM) of gadopentetate dimeglumine (Gd-DTPA), and three were filled with different concentrations (100, 200, and 350 mg/mL) of calcium hydroxyapatite. Real and imaginary images from multi-echo spoiled gradient-echo data (12 echoes) were acquired. We then used four datasets with three serial echoes. The QSM procedure consists of four steps: field map estimation, phase unwrapping, background removal, and dipole inversion. For each sample, we compared the measured mean susceptibility value with the theoretical susceptibility value and conducted a linear regression analysis. Accordingly, the relationship between the measured susceptibility and concentration of Gd-DTPA was shown to agree well with the theoretical values (TEs = 16.4, 20.8, and 25.2 ms; slope = 0.24, R = 1.00). Furthermore, the relationship between the measured susceptibility and concentration of hydroxyapatite also showed good linearity (TEs = 16.4, 20.8, and 25.2 ms; slope = - 0.00121, R = 1.00). In conclusion, the optimization of the TE in QSM makes it possible to obtain more detailed information regarding the susceptibility of biomaterials. (Link to Publication Site) ● Publication site (DOI): 10.1007/s12194-019-00513-x (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 30980255 ● Summary page in Scopus @ Elsevier: 2-s2.0-85064249322 (DOI: 10.1007/s12194-019-00513-x, PubMed: 30980255, Elsevier: Scopus)
31.	Akemi Hioka, Yoshiteru Tada, Keiko Kitazato, Yasuhisa Kanematsu, Yoshifumi Mizobuchi, Hideo Mure, Kenji Shimada, Toshiyuki Okazaki, Masaaki Korai, Noki Akazawa, Yuki Matsumoto, Yuki Matsumoto, Yasushi Takagi and Shinji Nagahiro : Activation of mirror neuron system during gait observation in sub-acute stroke patients and healthy persons., Journal of Clinical Neuroscience, Vol.60, 79-83, 2019. (Summary) The observation of walking improves gait ability in chronic stroke survivors. It has also been suggested that activation of the mirror neuron system contributes to this effect. However, activation of the mirror neuron system during gait observation has not yet been assessed in sub-acute stroke patients. The objective of this study was to clarify the activation of mirror neuron system during gait observation in sub-acute stroke patients and healthy persons. In this study, we sequentially enrolled five sub-acute stroke patients who had undergone gait training and nine healthy persons. We used fMRI to detect neuronal activation during gait observation. During the observation period in the stroke group, neural activity in the left inferior parietal lobule, right and left inferior frontal gyrus was significantly higher than during the rest period. In the healthy group, neural activity in the left inferior parietal lobule, left inferior frontal gyrus, left middle frontal gyrus, left superior temporal lobule and right and left middle temporal gyrus was significantly higher than during the rest period. The results indicate that the mirror neuron system was activated during gait observation in sub-acute stroke patients who had undergone gait training and also in healthy persons. Our findings suggest that gait observation treatment may provide a promising therapeutic strategy in sub-acute stroke patients who have experienced gait training. (Keyword) Adult / Brain / Exercise Therapy / Female / Gait / Humans / Magnetic Resonance Imaging / Male / Middle Aged / Mirror Neurons / Stroke / Stroke Rehabilitation (Tokushima University Institutional Repository) ● Metadata: 113267 (Link to Publication Site) ● Publication site (DOI): 10.1016/j.jocn.2018.09.035 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 30318398 ● Search Scopus @ Elsevier (PMID): 30318398 ● Search Scopus @ Elsevier (DOI): 10.1016/j.jocn.2018.09.035 (Tokushima University Institutional Repository: 113267, DOI: 10.1016/j.jocn.2018.09.035, PubMed: 30318398)
32.	Yuki Kanazawa, Kotaro Baba, Tosiaki Miyati, Masafumi Harada, Hiroaki Hayashi, Ikuho Kosaka, Mitsuharu Miyoshi, Michael Carl and Yuki Matsumoto : Does the amount of signal change depend on calcium concentration in lipid-rich core plaque?, Proceedings of the 26th Annual Meeting of ISMRM, No.3473, 2018.
33.	Yuki Kanazawa, Toshiaki Sasaki, Hiroaki Hayashi, Kotaro Baba, Ikuho Kosaka, Yuki Matsumoto, Mitsuharu Miyoshi and Masafumi Harada : T1 dependency of magnetization transfer effect in human brain, Proceedings of the 26th Annual Meeting of ISMRM, No.3179, 2018.
34.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Ikuho Kosaka, Kotaro Baba, Hiroaki Hayashi and Yuki Matsumoto : Nuclear Overhauser enhancement effect of low B1 power CEST RF in human brain at 3.0 T, Proceedings of the 26th Annual Meeting of ISMRM, No.5117, 2018.
35.	Natsuki Ikemitsu, Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Toshiaki Sasaki, Mitsuharu Miyoshi and Masafumi Harada : Development of correction for signal-to-noise ratio using a T2* with improved Phase method, Journal of Computer Assisted Tomography, Vol.42, No.1, 117-123, 2018. (Summary) This study aims to improve the signal-to-noise ratio (SNR) of the phase image focusing T2 and to develop an improved phase (iPhase) image acquired high SNR. The iPhase images of phantom and brain were acquired with multi-echo spoiled gradient-echo. The phantom component was a gadopentetate dimeglumine (Gd-DTPA) solution made of different concentrations (0.1, 0.5, and 1 wt%) and Gd-DTPA (0.1, 0.5, and 1 wt%) with agar (1.0 wt%). We applied the iPhase image to susceptibility weighed image (SWI) and evaluated SNR of SWI. In phantom study, SNRs of conventional SWI at each sample were 19.8, 15.7, 7.4, 20.0, 17.4, and 27.3, respectively. Signal-to-noise ratios of SWI derived from iPhase method were 29.5, 33.7, 21.7, 28.5, 24.3, and 14.7, respectively. Then, the SNR showed an improvement of 196% at maximum (for the Gd-DTPA 1 wt% sample). In healthy volunteer study, SWI derived from iPhase method had the good contrast between white matter and gray matter. The iPhase image was able to improve the phase SNR. Moreover, iPhase method makes it possible to obtain a high SNR image when applying to SWI. (Link to Publication Site) ● Publication site (DOI): 10.1097/RCT.0000000000000644 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 28708721 ● Search Scopus @ Elsevier (PMID): 28708721 ● Search Scopus @ Elsevier (DOI): 10.1097/RCT.0000000000000644 (DOI: 10.1097/RCT.0000000000000644, PubMed: 28708721)
36.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Toshiaki Sasaki and Natsuki Ikemitsu : Baseline of Chemical Exchange Saturation Transfer Imaging for Brain, Proceedings of the 25th Annual Meeting of ISMRM, 4646, 2017.
37.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Toshiaki Sasaki, Natsuki Ikemitsu and Michael Carl : Dura Mater imaging with UTE T2* Mapping, Proceedings of the 25th Annual Meeting of ISMRM, 4682, 2017.
38.	Natsuki Ikemitsu, Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Takatoshi Usuda, Toshiaki Sasaki, Mitsuharu Miyoshi and Masafumi Harada : An improvement of signal-to-noise ratio for phase image, European Congress of Radiology (EPOS), C-0803, 2017. (Tokushima University Institutional Repository) ● Metadata: 111042 (Link to Publication Site) ● Publication site (DOI): 10.1594/ecr2017/C-0803 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1594/ecr2017/C-0803 (Tokushima University Institutional Repository: 111042, DOI: 10.1594/ecr2017/C-0803)
39.	Toshiaki Sasaki, Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Natsuki Ikemitsu, Takatoshi Usuda, Mitsuharu Miyoshi and Masafumi Harada : T1 dependence of magnetization transfer effect for macromolecules, European Congress of Radiology (EPOS), C-0827, 2017. (Summary) Purpose: To assess the relationship between T1 and magnetization transfer (MT) effect on macromolecules, we determined T1 map derived from variable flip angle (VFA) method with MT pulse. Materials and Methods: On a 3.0 T magnetic resonance (MR) system, we performed a phantom study using spoiled gradient-echo sequences; TR, 600 ms; TE, 5.8 ms; FA, 5, 20, 40, 60, and 90 degrees; without and with MT pulse (offset frequency, 800 ,1200 , and 1600 Hz). The phantom components were six samples; water and polyethylene glycol (PEG) solutions at different concentrations (10, 20, 30, 40, and 50 wt%). We calculated T1 maps from image datasets without and with MT pulse. Then, the MT ratio (MTR) maps were calculated from each FA image. Results: The mean T1 range without MT pulse for each sample was from 1200 to 2039 ms. The mean T1 ranges with MT pulse of each sample were from 1322 to 1886 at 800 Hz; from 1310 to 1926 ms at 1200 Hz; from 1300 to 1909 ms at 1600 Hz. The MTR of each sample showed the highest value at FA 5 degrees and offset 800 Hz. The mean MTR values of each sample were 6.54 ± 2.78, 3.94 ± 1.92, 2.50 ± 1.67, 1.96 ± 1.33, 1.44 ± 1.15, and 1.78 ± 1.53%. Conclusion: Determination of T1 with MT pulse makes it possible to obtain more detailed information of macromolecules. (Tokushima University Institutional Repository) ● Metadata: 111041 (Link to Publication Site) ● Publication site (DOI): 10.1594/ecr2017/C-0827 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1594/ecr2017/C-0827 (Tokushima University Institutional Repository: 111041, DOI: 10.1594/ecr2017/C-0827)
40.	Yuto Konishi, Yuki Kanazawa, Takatoshi Usuda, Yuki Matsumoto, Hiroaki Hayashi, Tsuyoshi Matsuda, Junji Ueno and Masafumi Harada : Simple noise reduction for diffusion weighted images, Radiological Physics and Technology, Vol.9, No.2, 221-226, 2016. (Summary) Our purpose in this study was to reduce the noise in order to improve the SNR of Dw images with high b-value by using two correction schemes. This study was performed with use of phantoms made from water and sucrose at different concentrations, which were 10, 30, and 50 weight percent (wt%). In noise reduction for Dw imaging of the phantoms, we compared two correction schemes that are based on the Rician distribution and the Gaussian distribution. The highest error values for each concentration with use of the Rician distribution scheme were 7.3 % for 10 wt%, 2.4 % for 30 wt%, and 0.1 % for 50 wt%. The highest error values for each concentration with use of the Gaussian distribution scheme were 20.3 % for 10 wt%, 11.6 % for 30 wt%, and 3.4 % for 50 wt%. In Dw imaging, the noise reduction makes it possible to apply the correction scheme of Rician distribution. (Tokushima University Institutional Repository) ● Metadata: 110815 (Link to Publication Site) ● Publication site (DOI): 10.1007/s12194-016-0350-9 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 26984734 ● Search Scopus @ Elsevier (PMID): 26984734 ● Search Scopus @ Elsevier (DOI): 10.1007/s12194-016-0350-9 (Tokushima University Institutional Repository: 110815, DOI: 10.1007/s12194-016-0350-9, PubMed: 26984734)
41.	Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Tsuyoshi Matsuda, Munguu Ganbold and Masafumi Harada : Simple improvement method of uniformity of MR elastography on liver, Proceedings of the 24th Annual Meeting of ISMRM, 2972, 2016.
42.	Yuto Konishi, Yuki Kanazawa, Takatoshi Usuda, Yuki Matsumoto, Hiroaki Hayashi, Tsuyoshi Matsuda and Masafumi Harada : Comparison with statistical analysis of signal correction in diffusion weighted MR image, European Congress of Radiology (EPOS), C-0291, 2016. (Tokushima University Institutional Repository) ● Metadata: 111021 (Link to Publication Site) ● Publication site (DOI): 10.1594/ecr2016/C-0291 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1594/ecr2016/C-0291 (Tokushima University Institutional Repository: 111021, DOI: 10.1594/ecr2016/C-0291)
43.	Yuki Kanazawa, Yuto Konishi, Takatoshi Usuda, Yuki Matsumoto, Hiroaki Hayashi, Tsuyoshi Matsuda and Masafumi Harada : Noise estimation for diffusion weighted MR image, European Congress of Radiology (EPOS), C-0591, 2016. (Tokushima University Institutional Repository) ● Metadata: 110990 (Link to Publication Site) ● Publication site (DOI): 10.1594/ecr2016/C-0591 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1594/ecr2016/C-0591 (Tokushima University Institutional Repository: 110990, DOI: 10.1594/ecr2016/C-0591)

Academic Paper (Unrefereed Paper):

1.	Yuki Matsumoto, Koji Fujita, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : Characterization of Movement Disorders Using Multimodal Neuroimaging, European Congress of Radiology (EPOS), 2022. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2022/C-16595 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2022/C-16595 (DOI: 10.26044/ecr2022/C-16595)
2.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : Endogenous/exogenous tracers in CEST for pH measurement at 3T MRI, European Congress of Radiology (EPOS), 2022. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2022/C-16566 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2022/C-16566 (DOI: 10.26044/ecr2022/C-16566)
3.	Yuki Matsumoto, Yuki Kanazawa, Yuki Kinjo, Masafumi Harada, Toshiaki Miyati, Hiroaki Hayashi, Mitsuharu Miyoshi, Naoki Maeda, Yasuhisa Kanematsu, Yasushi Takagi and Akihiro Haga : Evaluation of Blood Flow and Plaque Vulnerability in Carotid Artery Stenosis Focusing on Morphological and Component Characteristics, Proceedings of the 2022 ISMRM & SMRT ANNUAL MEETING & EXHIBITION, No.3783, 2022, 2022.
4.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Fukuda Nagomi, Kitano Syun, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Brain Tumor Characterization and Assessment using Automatic Detection of Extracellular pH Change, Proceedings of the 2021 ISMRM & SMRT ANNUAL MEETING & EXHIBITION, No.3749, 2021.
5.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Calculation of Concentration of Contrast Media, Relaxivity, Extracellular pH and Oxygen Extraction Fraction for Brain Tumor Characterization, Proceedings of the 28th Annual Meeting of ISMRM, No.4983, 2020.
6.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Calculation of molar relaxivity and concentration map of Gd-DTPA map using quantitative parameter map before and after injection for brain metastasis, Proceedings of the 27th Annual Meeting of ISMRM, No.4983, 2019.
7.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo and Miyoshi Mitsuharu : Chemical exchange saturation transfer imaging depending on several neurodegenerative diseases at 3T, Proceedings of the 27th Annual Meeting of ISMRM, No.2795, 2019.
8.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, Amgalan Enkh Dolgorsuren, Ariumbold Gankhuyag, Takamatsu Shin and Yamashita Yuichi : Which number of b-value is better for accurate calculation of virtual MR elastography?, European Congress of Radiology (EPOS), C-1761, 2019. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2019/C-1761 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2019/C-1761 (DOI: 10.26044/ecr2019/C-1761)
9.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, Ariunbold Gankhuyag, Amgalan Enkh Dolgorsuren, Takamatsu Shin and Yamashita Yuichi : Why are shear stiffness and estimated intravoxel incoherent motion map correlated in the liver?, European Congress of Radiology (EPOS), C-1789, 2019. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2019/C-1789 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2019/C-1789 (DOI: 10.26044/ecr2019/C-1789)
10.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo and Mitsuharu Miyoshi : Chemical exchange saturation transfer imaging for neurodegenerative diseases, Proceedings of the 26th Annual Meeting of ISMRM, No.2096, 2018.

Proceeding of International Conference:

1.	Kanon Monda, Hitoshi Ikushima, Yuki Matsumoto, Motoharu Sasaki, Micihito Shimokawa and Akihiro Haga : Proposal of a differential diagnostic index for recurrent brain metastasis or radiation-induced brain necrosis by radiomics analysis using C-11 methionine PET, The 3rd ICRPT, Apr. 2024.
2.	Shunsuke Uotani, Yuki Kanazawa, Taniguchi Yo, Ito Kosuke, Bito Yoshitaka, Yuki Matsumoto, Masafumi Harada and Akihiro Haga : Determining Imaging Parameters of a Gradient-echo Technique for Myelin Water Fraction., European Congress of RadiologyECR2024, Wien, Mar. 2024.
3.	Kanon Monda, Hitoshi Ikushima, Yuki Matsumoto, Motoharu Sasaki, Michihito Shimokawa and Akihiro Haga : The differential diagnosis of recurrent brain metastasis or radiationinduced brain necrosis by radiomics analysis using C-11 methionine positron emission tomography, ECR 2024, Feb. 2024.
4.	Yuki Matsumoto, Shotaro Haji, Masafumi Harada, Wataru Sako, Yuki Kanazawa, Yuishin Izumi, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Quantitative Parameter Mapping of Brain Structure and Components in Parkinsons Disease and Progressive Supranuclear Palsy, RSNA2023 (Radiological Society of North America), Chicago, Nov. 2023.
5.	Yuki Kanazawa, Tosiaki Miyati, Masafumi Harada, Mitsuharu Miyoshi, Mayuka Seguchi, Hiroaki Hayashi, Yuki Matsumoto, Yasuhisa Kanematsu and Yasushi Takagi : Metabolic Analysis Within an Atherosclerotic Plaque Using Chemical Exchange Saturation Transfer Imaging, The 109th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA2023), Chicago, Nov. 2023.
6.	Kanon Monda, Hitoshi Ikushima, Yuki Matsumoto, Motoharu Sasaki, Michihito Shimokawa and Masafumi Harada : Proposal of a rigid registration method for contrast-enhanced MRI and C-11 methionine PET using iterative closest point and convolutional Neural Network, ISMRM JPC2023, The 8th Annual Scientific Meeting of the ISMRM Japanese Chapter, Sep. 2023.
7.	Kyohei Maekawa, Satoru Kohno, Yuki Matsumoto, Masafumi Harada and Koji Fujita : Imaging biomarker in Prodromal Parkinson's disease using a novel network index of resting state fMRI, 29th Annual Meeting of The Organization for Human Brain Mapping,Montréal, Canada, Jul. 2023. (Keyword) fMRI / Parkinson's disease / Imaging biomarker / brain network
8.	Yuki Kanazawa, KITANO Shun, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Myelin Water Atlas Template Derived from Quantitative Parameter Mapping, The 32st Annual Meeting of ISMRM, Toronto, Jun. 2023.
9.	Yuki Kanazawa, Tosiaki Miyati, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Yasuhisa Kanematsu and Yasushi Takagi : Evaluation of Biological Metabolic Activity within an Atherosclerotic Plaque using Chemical Exchange Saturation Transfer Imaging, The 32st Annual Meeting of ISMRM, Toronto, Jun. 2023.
10.	Mayuka Seguchi, Yuki Kanazawa, Tosiaki Miyati, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Yasuhisa Kanematsu and Yasushi Takagi : Diffusion weighted-viscosity imaging for atherosclerotic plaques, The 32st Annual Meeting of ISMRM, Toronto, Jun. 2023.
11.	Nagomi Fukuda, Yuki Kanazawa, Hiroaki Hayashi, Yuki Matsumoto, Masafumi Harada, Motoharu Sasaki and Akihiro Haga : Development of a B1 correction method without additional scanning VFA T1 map., European Congress of Radiology, Wien, Jul. 2022.
12.	Yuki Matsumoto, Yuki Kanazawa, Yuki Kinjo, Masafumi Harada, Toshiaki Miyati, Hiroaki Hayashi, Mitsuharu Miyoshi, Naoki Maeda, Yasuhisa Kanematsu, Yasushi Takagi and Akihiro Haga : Evaluation of Blood Flow and Plaque Vulnerability in Carotid Artery Stenosis Focusing on Morphological and Component Characteristics, ISMRM 30th Annual Meeting, London, May 2022.
13.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi and Yuki Matsumoto : Evaluation of brain tumor and surrounding tissue activity using multi-pool CEST imaging on 3 Tesla scanner, Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, May 2022.
14.	Nagomi Fukuda, Yuki Kanazawa, Hiroaki Hayashi, Yuki Matsumoto, Masafumi Harada, Motoharu Sasaki and Akihiro Haga : Development of self-calibrating B1 correction for three-dimensional variable flip angle T1 mapping, Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, May 2022.
15.	Shun Kitano, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Conversion map from quantitative parameter mapping to myelin water fraction, Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, May 2022.
16.	Natsuki Ikemitsu, Yuki Kanazawa, Akihiro Haga, Hiroaki Hayashi, Yuki Matsumoto and Masafumi Harada : Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation., Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, May 2022.
17.	Fukuda Nagomi, Yuki Kanazawa, Hiroaki Hayashi, Yuki Matsumoto, Masafumi Harada, Motoharu Sasaki and Akihiro Haga : Variable flip angle T1 mapping without acquiring data for B1 correction, Joint International Conference on Radiological Physics and Technology, Yokohama, Apr. 2022.
18.	Natsuki Ikemitsu, Yuki Kanazawa, Masafumi Harada, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yo Taniguchi, Yoshitaka Bito and Akihiro Haga : Determination of white matter structure index for voxel basedmorphometry and connectivity analysis., European Congress of Radiology, Wien, Mar. 2022.
19.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : Endogenous/exogenous tracers in CEST for pH measurement at 3T MRI, European Congress of Radiology, Wien, Mar. 2022.
20.	Yuki Matsumoto, Koji Fujita, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : Characterization of Movement Disorders Using Multimodal Neuroimaging, European Congress of Radiology, Wien, Mar. 2022.
21.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Yo Taniguchi, Masaharu Ono and Yoshitaka Bito : What Is The Extracellular pH Of Brain Tumors And How Can We Detect Brain Tumors Using Gadolinium-based-contrast Agents?, RSNA2021 (Radiological Society of North America), Chicago, Nov. 2021.
22.	Naoki Maeda, Yuki Kanazawa, Yuki Kinjo, Yuki Matsumoto, Masafumi Harada, Tosiaki Miyati, Hiroaki Hayashi, Mitsuharu Miyoshi, Yasuhisa Kanematsu, Yasushi Takagi and Akihiro Haga : Is it possible to evaluate morphological carotid artery stenosis information using NASCET criteria?, RSNA2021 (Radiological Society of North America), Chicago, Nov. 2021.
23.	Satoru Kohno, Daisuke Sato, Sumida Nami, Yuki Matsumoto, Masafumi Harada and Koji Fujita : Radial Correlation and Radial Similarity Contrast Reveal Abnormal Brain Networks in Dystonia, 27th Annual Meeting of The Organization for Human Brain Mapping, web conference, Jun. 2021.
24.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Yo Taniguchi, Masaharu Ono and Yoshitaka Bito : Brain Tumor Characterization and Assessment using Automatic Detection of Extracellular pH Change, ISMRM 29th Annual Meeting, Online meeting, May 2021.
25.	Naoki Maeda, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Derivation of Water Exchange Constants between Components using Quantitative Parameter Mapping (QPM), ISMRM 29th Annual Meeting, Online, May 2021.
26.	Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Syun Kitano, Nagomi Fukuda, Yuki Matsumoto, Hiroaki Hayashi, Kosuke Ito, Yoshitaka Bito and Akihiro Haga : Myelin imaging derived quantitative parameter mapping compared to myelin water fraction, ISMRM 29th Annual Meeting, Online, May 2021.
27.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Calculation of Concentration of Contrast Media, Relaxivity, Extracellular pH and Oxygen Extraction Fraction for Brain Tumor Characterization, ISMRM 28th Annual Meeting, Paris, Aug. 2020.
28.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Takashi Abe, Yuki Matsumoto and Yasushi Takagi : Characterization of Brain Tumors using Amide Proton and Nuclear Overhauser Effect at 3 Tesla MR Scanner, ISMRM Virtual Conference, Aug. 2020.
29.	Yuki Kanazawa, Masafumi Harada, Tosiaki Miyati, Takashi Abe, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Yasuhisa Kanematsu and Yasushi Takagi : Chemical Exchange Saturation Transfer Imaging for Atherosclerotic Plaques, ISMRM Virtual Conference, Aug. 2020.
30.	Maeda Naoki, Yuki Kanazawa, Masafumi Harada, Tanigichi Yo, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, Ono Masaharu and Bito Yoshitaka : Multicomponent T1 Relaxometry Analysis using Quantitative Parameter Mapping Magnetic Resonance Imaging, European Congress of Radiology, Wien, Mar. 2020. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2020/C-08767 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2020/C-08767 (DOI: 10.26044/ecr2020/C-08767)
31.	Wada Yugo, Yuki Kanazawa, Masafumi Harada, Naoki Maeda, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, Miyoshi Mitsuharu and Carl Michel : Multi-components analysis of brain using ultrashort echo time magnetic resonance imaging, European Congress of Radiology, Wien, Mar. 2020. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2020/C-08766 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2020/C-08766 (DOI: 10.26044/ecr2020/C-08766)
32.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : How does synthetic MRI depict biological information? A step toward planning for deep brain stimulation (DBS), European Congress of Radiology, Wien, Mar. 2020.
33.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Simultaneously Calculation of Concentration of Contrast Media, Relaxivity, and Oxygen Extraction Fraction using Quantitative Parameter Mapping, RSNA2019 (Radiological Society of North America), Chicago, Dec. 2019.
34.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Calculation of molar relaxivity and concentration map of Gd-DTPA map using quantitative parameter map before and after injection for brain metastasis, ISMRM 27th Annual Meeting, Montreal, May 2019.
35.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo and Miyoshi Mitsuharu : Chemical exchange saturation transfer imaging depending on several neurodegenerative diseases at 3T, ISMRM 27th Annual Meeting, Montreal, May 2019.
36.	Yuki Kanazawa, Chiba Daiki, Masafumi Harada, Miyati Tosiaki, Miyoshi Mitsuharu, Hiroaki Hayashi, Yuki Matsumoto, Takashi Abe and Akihiro Haga : Thermal sensitive pH imaging using CEST, ISMRM 27th Annual Meeting, Montreal, May 2019.
37.	Yuki Kanazawa, Masafumi Harada, Taniguchi Yo, Hiroaki Hayashi, Takashi Abe, Maki Ohtomo, Yuki Matsumoto, Ono Masafumi, Bito Yoshitaka and Akihiro Haga : Myelin imaging derived from quantitative parameter mapping, ISMRM 27th Annual Meeting, Montreal, May 2019.
38.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, Ariunbold Gankhuyag, Amgalan Enkh Dolgorsuren, Takamatsu Shin and Yamashita Yuichi : Why are shear stiffness and estimated intravoxel incoherent motion map correlated in the liver?, European Congress of Radiology, Wien, Mar. 2019. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2019/C-1789 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2019/C-1789 (DOI: 10.26044/ecr2019/C-1789)
39.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, Amgalan Enkh Dolgorsuren, Ariumbold Gankhuyag, Takamatsu Shin and Yamashita Yuichi : Which number of b-value is better for accurate calculation of virtual MR elastography?, European Congress of Radiology, Wien, Mar. 2019. (Link to Publication Site) ● Publication site (DOI): 10.26044/ecr2019/C-1761 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.26044/ecr2019/C-1761 (DOI: 10.26044/ecr2019/C-1761)
40.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo and Miyoshi Mitsuharu : Chemical exchange saturation transfer imaging for brain tumors, RSNA2018 (Radiological Society of North America), Chicago, Nov. 2018.
41.	Yuki Kanazawa, Kotaro Baba, Tosiaki Miyati, Masafumi Harada, Hiroaki Hayashi, Ikuho Kosaka, Mitsuharu Miyoshi, Michael Carl and Yuki Matsumoto : Does the amount of signal change depend on calcium concentration in lipid-rich core plaque?, ISMRM 26th Annual Meeting, Paris, Jun. 2018.
42.	Yuki Kanazawa, Toshiaki Sasaki, Hiroaki Hayashi, Kotaro Baba, Ikuho Kosaka, Yuki Matsumoto, Mitsuharu Miyoshi and Masafumi Harada : T1 dependency of magnetization transfer effect in human brain, ISMRM 26th Annual Meeting, Paris, Jun. 2018.
43.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Ikuho Kosaka, Kotaro Baba, Hiroaki Hayashi and Yuki Matsumoto : Nuclear Overhauser enhancement effect of low B1 power CEST RF in human brain at 3.0 T, ISMRM 26th Annual Meeting, Paris, Jun. 2018.
44.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo and Mitsuharu Miyoshi : Chemical exchange saturation transfer imaging for neurodegenerative diseases, ISMRM 26th Annual Meeting, Paris, Jun. 2018.
45.	Yuki Matsumoto, Yuki Kanazawa, Toshiaki Sasaki, Natsuki Ikemitsu, Hiroaki Hayashi, Mitsuharu Miyoshi, Masafumi Harada and Hideki Otsuka : Which is More Important for Quantitative Susceptibility Mapping? SNR of Phase vs Spin Dephasing., Radiological Society of North America (RSNA), Chicago, Nov. 2017.
46.	Natsuki Ikemitsu, Yuki Kanazawa, Hiroaki Hayashi, Yoshiki Mihara, Emi Tomita, Yuki Matsumoto, Tohru Okazaki, Takuya Hashizume and Masafumi Harada : Can OSL dosimetry measurement be applied to MR imaging during MR-LINAC treatment?, RSNA2017 (Radiological Society of North America), Chicago, Nov. 2017.
47.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Toshiaki Sasaki, Natsuki Ikemitsu and Michael Carl : Dura Mater imaging with UTE T2* Mapping, ISMRM 25th Annual Meeting, Honolulu, Apr. 2017.
48.	Yuki Kanazawa, Masafumi Harada, Mitsuharu Miyoshi, Yuki Matsumoto, Hiroaki Hayashi, Toshiaki Sasaki and Natsuki Ikemitsu : Baseline of Chemical Exchange Saturation Transfer Imaging for Brain, ISMRM 25th Annual Meeting, Honolulu, Apr. 2017.
49.	Yuki Matsumoto, Yuki Kanazawa, Toshiaki Sasaki, Natsuki Ikemitsu, Hiroaki Hayashi, Mitsuharu Miyoshi, Masafumi Harada and Hideki Otsuka : Phase Correction for Quantitative Susceptibility Mapping (QSM) using T2* Mapping, The 5th International Congress on Magnetic Resonance Imaging, Vol.2017, No.FA, 111, Seoul, Mar. 2017. (Summary) Objectives : The purpose of this study is to develop a phase correction method focusing on the SNR of phase and to improve the quantitative measurement of QSM. Methods : On a 3.0 T MRI system (Discovery MR750; GE Healthcare), using three-dimensional spoiled gradient-echo (3D-SPGR) sequence with multiple TEs were used in this study. The imaging parameters were TE, 12 echoes from 3.1 to 51.7 ms (ΔTE = 4.4 ms); repetition time, 55.5 ms; spatial resolution, 1.0 × 1.0 × 1.0 mm; and pixel bandwidth, 244.1 Hz. We conducted a phantom experiment in this study. Five tubes were filled with different concentrations (100, 150, 200, 250, and 300 mg/mL) of calcium hydroxyapatite samples. In this study, we focused on the computation of off-set frequency of each voxel (i.e., field map estimation). At first, we calculate the TE having the maximum for our setting number of echo from the measured T2* map. Second, the ``appropriate TE dataset'' was defined as the maximum SNR dataset with appropriate TE and two datasets with neighboring TE. Third, after estimating the field map using the appropriate TE dataset, a corrected phase angle at each phase angle of the appropriate TE dataset was calculated from a mean resultant length which is the length of the average vectors calculated from all phase angles. Then, the corrected phase angle was defined from mean resultant length. Finally, all phase angles in FOV were corrected for each appropriate TE dataset. Results : The linearity of the relationship between the measured susceptibility and the concentration of hydroxyapatite in the corrected phase dataset was significantly higher than other methods (R = 0.30 VS 0.97). Conclusions : The correction method in QSM using phase correction method makes it possible to more accurately obtain susceptibility information of tissue having a short T2. (Keyword) QSM / echo time / T2 / SNR of phase / susceptibility
50.	Toshiaki Sasaki, Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Natsuki Ikemitsu, Takatoshi Usuda, Mitsuharu Miyoshi and Masafumi Harada : T1 dependence of magnetization transfer effect for macromolecules, European Congress of Radiology, Wien, Mar. 2017. (Summary) Purpose: To assess the relationship between T1 and magnetization transfer (MT) effect on macromolecules, we determined T1 map derived from variable flip angle (VFA) method with MT pulse. Materials and Methods: On a 3.0 T magnetic resonance (MR) system, we performed a phantom study using spoiled gradient-echo sequences; TR, 600 ms; TE, 5.8 ms; FA, 5, 20, 40, 60, and 90 degrees; without and with MT pulse (offset frequency, 800 ,1200 , and 1600 Hz). The phantom components were six samples; water and polyethylene glycol (PEG) solutions at different concentrations (10, 20, 30, 40, and 50 wt%). We calculated T1 maps from image datasets without and with MT pulse. Then, the MT ratio (MTR) maps were calculated from each FA image. Results: The mean T1 range without MT pulse for each sample was from 1200 to 2039 ms. The mean T1 ranges with MT pulse of each sample were from 1322 to 1886 at 800 Hz; from 1310 to 1926 ms at 1200 Hz; from 1300 to 1909 ms at 1600 Hz. The MTR of each sample showed the highest value at FA 5 degrees and offset 800 Hz. The mean MTR values of each sample were 6.54 ± 2.78, 3.94 ± 1.92, 2.50 ± 1.67, 1.96 ± 1.33, 1.44 ± 1.15, and 1.78 ± 1.53%. Conclusion: Determination of T1 with MT pulse makes it possible to obtain more detailed information of macromolecules. (Link to Publication Site) ● Publication site (DOI): 10.1594/ecr2017/C-0827 (Link to Search Site for Scientific Articles) ● Search Scopus @ Elsevier (DOI): 10.1594/ecr2017/C-0827 (DOI: 10.1594/ecr2017/C-0827)
51.	Natsuki Ikemitsu, Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Takatoshi Usuda, Toshiaki Sasaki, Mitsuharu Miyoshi and Masafumi Harada : An improvement of signal-to-noise ratio for phase image, European Congress of Radiology, Wien, Mar. 2017.
52.	Yuki Matsumoto, Yuki Kanazawa, Nattsuki Ikemitsu, Toshiaki Sasaki, Hiroaki Hayashi, Mitsuharu Miyosh, Masafumi Harada and Hideki Otsuka : Proposal of an appropriate echo time-input function for quantitative susceptibility mapping., International Conference On Medical Physics (ICMP) 2016, Bangkok, Dec. 2016. (Summary) Purpose To improve the quantitative assessment for both diamagnetic and paramagnetic materials, we developed a quantitative susceptibility mapping (QSM) method using an appropriate echo time (TE)-input function. Methods On 3.0 T MR system, we performed a phantom experiment using a multi-echo spoiled gradient-echo (12 echos; delta TE = 4.4 ms). The phantom consisted of gadopentetate dimeglumine (Gd-DTPA) and hydroxyapatite samples, which were made using three different concentrations of each material. After a multiple TE dataset was acquired, T2* values were calculated from the dataset. When a field map estimation was computed, the appropriate T2* value was used as TE-input function. Next, phase unwrapping and background removal were performed. Finally, the reconstruction of QSM was performed. Moreover, we compared susceptibility values derived from TE-input function and conventional methods. Results The mean T2* values of each Gd-DTPA and hydroxyapatite sample were 365 ± 74, 194 ± 9, 86 ± 3, 24 ± 2, 14 ± 1, and 11 ± 1 ms, respectively. Compared with the conventional method, the proposed TE-input function method indicated good positive linearity for the relationship between the Gd-DTPA concentration and susceptibility (slope = 0.26 ppm/mmol/L, R2 = 0.97, P = 0.11). Additionally, the proposed TE-input function method indicated good negative linearity for the relationship between the concentration and hydroxyapatite susceptibility (slope = -0.0019 ppm/mg/mL, R2 = 1.00, P = 0.02). Conclusions QSM with the TE-input function makes it possible to evaluate simultaneously diamagnetic and paramagnetic materials. e.g. Gd-DTPA and hydroxyapatite. (Keyword) quantitative susceptibility mapping (QSM); field map estimation; echo time; T2* mapping.
53.	Yuki Matsumoto, Yuki Kanazawa, Hiroaki Hayashi, Kazuki Takegami, Tsuyoshi Matsuda, Masafumi Harada and Hideki Otsuka : How do you Determine the Echo Time When Calculation of Quantitative Susceptibility Mapping (QSM)?, Radiological Society of North America (RSNA) 2016, Chicago, Dec. 2016. (Summary) TEACHING POINTS The purpose of this exhibit is to learn that 1. It is important to know dependence of signal loss due to T2* decay, corresponding to echo time (TE) and susceptibility of biomaterial. 2. Magnetic susceptibility have paramagnetic and diamagnetic characterization, i.e., these indicate positive and negative values, respectively. TABLE OF CONTENTS/OUTLINE -Aims The aim of our study is to investigate the difference in magnetic susceptibility for various TEs. -Method On a 3.0 T MR system, we performed a phantom experiment. The phantom consisted of Gd-DTPA and hydroxyapatite samples which were made using three different concentrations of each. In order to investigate the difference in the magnetic susceptibility of each TE, multiple TEs were acquired and several TE datasets were made. Then, we analyzed with each dataset. -Results The TEs = 3.1, 7.5 and 11.9 ms datasets indicated highest positive linearity for the Gd-DTPA samples (slope = 0.244, R2 = 0.998, P = 0.021). Moreover, the TEs = 3.1, 7.5 and 11.9 ms datasets indicated highest negative linearity for the hydroxyapatite samples (slope = -0.001, R2 = 0.997, P = 0.035). -Conclusion QSM makes it possible to accurately calculation of magnetic susceptibility by using the appropriate TE.
54.	Yuki Kanazawa, Yuki Matsumoto, Nattsuki Ikemitsu, Toshiaki Sasaki, Hiroaki Hayashi, Kazuki Takegami, Tsuyoshi Matsuda and Masafumi Harada : Hybrid assessment of gadopentetic acid and bone structure with ultrashort echo time imaging, International Conference On Medical Physics (ICMP) 2016, Bangkok, Dec. 2016. (Summary) Purpose To clarify the phase cycles of Gd-DTPA and calcium carbonate (CaCO3), we evaluated the quantitative susceptibility map (QSM) for dual-ultrashort echo time (UTE) imaging in a phantom experiment. Materials and Methods On a 3.0 T MR system, we performed a phantom study using a three-dimensional dual UTE sequence (TE, 32 µs and 3.2 ms). The phantom components were made from different concentrations of a Gd-DTPA solution (0.1, 0.5, and 1 wt%) and CaCO3 sections. The QSM algorithm was applied to the dual (32 µs and 3.2 ms) and single (32 µs) UTE datasets. We then set the region-of-interest for each material section on QSM images, and measured susceptibility values. Furthermore, linear regression analyses were used to determine the significance between Gd-DTPA concentration and susceptibility for each TE dataset. Results The mean susceptibility value of CaCO3 calculated from the dual UTE showed 1.09 ± 0.35 ppm. Additioally, the mean susceptibility values of 0.1, 0.5, and 1.0 wt% Gd-DTPA calculated from the dual UTE were -0.14 ± 0.03, -0.61 ± 0.02, and -1.24 ± 0.03 ppm. Moreover, there was a negative correlation between Gd-DTPA concentration and susceptibility derived from dual UTE (R2 = 0.9995, P = 0.0141). In contrast, there was no correlation between these values derived from single UTE (R2 = 0.00157, P = 0.9747). Conclusion QSM using dual UTE imaging makes it possible to simultaneously evaluate Gd-DTPA and CaCO3, i.e., bone tumor imaging with contrast-enhanced MRI. (Keyword) magnetic resonance image (MRI); ultrashort echo time (UTE); susceptibility; bone tumor
55.	Yuto Konishi, Yuki Kanazawa, Takatoshi Usuda, Yuki Matsumoto, Hiroaki Hayashi, Tsuyoshi Matsuda and Masafumi Harada : Comparison with statistical analysis of signal correction in diffusion weighted MR image, European Congress of Radiology (EPOS), Wien, Mar. 2016.
56.	Yuki Kanazawa, Konishi Yuto, Usuda Takatoshi, Yuki Matsumoto, Hiroaki Hayashi, Matsuda Tsuyoshi and Masafumi Harada : Noise estimation for diffusion weighted MR image, European Congress of Radiology (EPOS), Vienna, Mar. 2016.

Proceeding of Domestic Conference:

1.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Taniguchi Yo and Ono Masaharu : Basic Considerations for the Development of Gadolinium Contrast Agents with High pH Sensitivity, JSMRM2024, Sep. 2024.
2.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Taniguchi Yo and Ono Masaharu : Development of Extracellular pH Mapping Method using Quantitative Parameter Mapping(QPM)and Gadolinium-based Contrast Agents, JSMRM2024, Sep. 2024.
3.	Kanon Monda, Yuki Matsumoto, Motoharu Sasaki, Michihito Shimokawa, Akihiro Haga and Hitoshi Ikushima : 転移性脳腫瘍に対する放射線治療後の脳壊死と再発を鑑別する11C-Mthionine PET Radiomicsモデルの開発, 37, Mar. 2024.
4.	Kyohei Maekawa, Satoru Kohno, Yuki Matsumoto, Koji Fujita and Masafumi Harada : 極座標系Radial Correlation Contrastを用いた脳神経疾患の安静時fMRI解析, 第26回日本ヒト脳機能マッピング学会, Feb. 2024.
5.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : AcidoCEST contrast media exhibiting pH dependence on a 3T clinical MRI system, JSMRM2023, Sep. 2023.
6.	Kanon Monda, Hitoshi Ikushima, Yuki Matsumoto, Motoharu Sasaki, Michihito Shimokawa and Masafumi Harada : Proposal of a rigid transformation method for contrast-enhanced MRI and C-11 methionine PET using iterative closest point and convolutional Neural Network, ISMRM Japanese Chapter, Sep. 2023.
7.	Shotaro Haji, Wataru Sako, Koji Fukushima, HANADA Kenta, Yusuke Osaki, Yuki Matsumoto, Masafumi Harada and Yuishin Izumi : QSMを用いた視床下核の面先・磁化率評価は進行性核上性麻痺の診断に有用である, 第64回日本神経学会学術大会, Jun. 2023.
8.	Mayuka Seguchi, Yuki Kanazawa, 宮地利明, Yuki Matsumoto, Masafumi Harada, 林裕晃 and Akihiro Haga : アテローム性動脈硬化症におけるプラーク性状評価のための粘稠度MRI, 第 79 回日本放射線技術学会総会学術大会, Apr. 2023.
9.	Kyohei Maekawa, Satoru Kohno, Yuki Matsumoto, Masafumi Harada and Koji Fujita : 安静時fMRIを用いた前駆期パーキンソン病の新しい画像バイオマーカーの提案, 第25回日本ヒト脳機能マッピング学会, Feb. 2023. (Keyword) 安静時fMRI / 前駆期パーキンソン病 / 画像バイオマーカー
10.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Quantitative parameter mapping of brain tumor extracellular pH for therapeutic efficacy, ISMRM Japanese Chapter, Sep. 2022.
11.	Yuki Matsumoto, Masafumi Harada, Monda Kanon, Yuki Kanazawa, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Development of a neural network based skull stripping algorithm for quantitative parameter mapping both before and after injection of contrast media, JSMRM2022, Sep. 2022.
12.	Shotaro Haji, Koji Fujita, Ryosuke Oki, Yusuke Osaki, Yuki Kanazawa, Yuki Matsumoto, 有澤亜津子, 川井恒, 佐藤康敬, Kenta Yagi, Satoshi Sakaguchi, Hiroaki Yanagawa, 濱谷辰斗, 長野清一, 望月秀樹, 熱田直樹, 道勇学, 祖父江元, Masafumi Harada and Yuishin Izumi : EPI-589の筋萎縮性側索硬化症を対象とした探索的医師主導試験(EPIC-ALS), 第63回日本神経学会学術大会, May 2022.
13.	Takayoshi Shinya, Okada Naoko, MATSUSHITA Tomoki, Saya Matsuzaki, Yuki Matsumoto, Youichi Otomi, Michiko Kubo, Hideki Otsuka and Masafumi Harada : Review of Multimodality Imaging in Small Bowel Tumors: a review of old and new techniques, 第81回日本医学放射線学会総会, Apr. 2022.
14.	Kyohei Maekawa, Satoru Kohno, Yuki Matsumoto, Masafumi Harada and Koji Fujita : Voxel-to-Voxelコネクトーム解析を用いたパーキンソン病の安静時fMRI, 第24回日本ヒト脳機能マッピング学会, Feb. 2022.
15.	Taku Matsuda, Ryoma Morigaki, Yuki Matsumoto, Hideo Mure, Kazuhisa Miyake, Masahito Nakataki, Masafumi Harada and Yasushi Takagi : 全身性ジストニアと強迫性障害の重症度についての検討, 日本定位・機能神経外科学会機関紙, Jan. 2022.
16.	Taku Matsuda, Ryoma Morigaki, Yuki Matsumoto, Hideo Mure, Kazuhisa Miyake, Masahito Nakataki, Masafumi Harada and Yasushi Takagi : 全身性ジストニアと強迫性障害の重症度についての検討, 第61回日本定位・機能神経外科学会, Jan. 2022.
17.	matsuzaki saya, Takayoshi Shinya, 岡田直子, mitsuhashi ryota, Yukiko Takaoka, Youichi Otomi, Michiko Kubo, Yuki Matsumoto, Hideki Otsuka, Yoshimi Bando, Koichi Tsuneyama and Masafumi Harada : 肝内胆管癌との鑑別に苦慮した悪性リンパ腫の一例, 第135回日本医学放射線学会中国・四国地方会, Dec. 2021.
18.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : 3T-MRI装置におけamide-proton transfer イメージングの臨床有用性, 第12回日本安定同位体生体ガス医学応用学会, Dec. 2021.
19.	Taku Matsuda, Ryoma Morigaki, Yuki Matsumoto, Hideo Mure, Kazuhisa Miyake, Masahito Nakataki and Yasushi Takagi : 全身性ジストニアの重症度と強迫観念の関係性についての検討, 日本脳神経外科学会学術総会, Oct. 2021.
20.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa and Miyoshi Mitsuharu : A pilot study of extracellular pH measurement using iopamidol acido-chemical exchange transfer imaging on a 3T MRI, JSMRM2021, Sep. 2021.
21.	FUKUDA Nagomi, Yuki Kanazawa, Yuki Matsumoto, KITANO Shun, Akihiro Haga and Masafumi Harada : VFA法における多変量正規分布の確率密度関数を用いたB1補正手法の提案, 第49回日本磁気共鳴医学会大会, Sep. 2021.
22.	IKEMITSU Natsuki, Yuki Kanazawa, Masafumi Harada, Yuki Matsumoto, 伊藤公輔, 谷口陽, 尾藤良孝 and Akihiro Haga : 白質領域に対する非剛体処理に伴う数値解析の影響, 第49回日本磁気共鳴医学会大会, Sep. 2021.
23.	Kitano Shun, Yuki Kanazawa, Masafumi Harada, Yuki Matsumoto, Fukuda Nagomi, Hiroaki Hayashi, 谷口陽 and Akihiro Haga : Myelin Water Fraction(MWF)におけるT2* cut-off値の検討, 第49回日本磁気共鳴医学会大会, Sep. 2021.
24.	KONO Madoka, Takayuki Uchida, Akane Ohishi, HIRAYAMA Kako, TAKEMURA Yuma, Shoichiro Takao, Yuki Kanazawa, Yuki Matsumoto, Masafumi Harada, Iori Sakakibara, 鈴木利雄 and Takeshi Nikawa : 蒸し大豆食品の継続摂取が運動不足の健常人の筋量や筋力に及ぼす影響, 第75回日本栄養・食糧学会大会, Jul. 2021.
25.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : 腫瘍悪性度の定量に向けた造影剤濃度，緩和能，細胞外pHの同時算出手法の開発, 日本分子イメージング学会, May 2021.
26.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Automatic detection of extracellular pH change in brain tissue using deep learning based semantic segmentation, Japanese Journal of Radiological Technology, Apr. 2021.
27.	Shun Kitano, Yuki Kanazawa, Yuki Matsumoto, Nagomi Fukuda, Kenta Sasaki, Akihiro Haga and Masafumi Harada : T₂値およびT₂^*値導出に係るMyelin Water Fraction(MWF)値の影響, 第77回日本放射線技術学会総会学術大会, Apr. 2021.
28.	Nagomi Fukuda, Yuki Kanazawa, Yuki Matsumoto, Shun Kitano, Kenta Sasaki, Akihiro Haga and Masafumi Harada : 可変フリップアングル法を用いたT1値算出における線形近似と非線形近似の比較, 第77回日本放射線技術学会総会学術大会, Apr. 2021.
29.	Satoru Kohno, 佐藤大亮, 隅田奈美, Yuki Matsumoto, Masafumi Harada and Koji Fujita : Voxel-to-voxel コネクトーム解析を用いたジストニアの安静時fMRI, 第23回日本ヒト脳機能マッピング学会(WEB開催), Mar. 2021.
30.	Taku Matsuda, Yuki Matsumoto, Ryoma Morigaki, Hideo Mure, Kazuhisa Miyake, Shinsuke Katoh, 尾藤良孝, Masafumi Harada and Yasushi Takagi : Quantitative parameter mappingを用いた3TMRIでの視床下核の可視化, 第60回日本定位・機能神経外科学会, Jan. 2021.
31.	Yuki Kanazawa, MAEDA Naoki, Masafumi Harada, 谷口陽, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, 伊藤公輔, 尾藤良孝 and Akihiro Haga : Quantitative Parameter Mapping(QPM) を用いたコンポーネント間スピン交換定数の導出, 第48回日本磁気共鳴医学会大会Web開催, Sep. 2020.
32.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Which contrast agent is more sensitive to extracellular pH change on brain tumor ?, JSMRM2020, Sep. 2020.
33.	Sumida Nami, Masafumi Harada, Satoru Kohno, Yuki Matsumoto, Yuki Kanazawa, Gonchigsuren Oyundari and Koji Fujita : Comparison of functional connectivity using resting state functional MRI in movement disorders., 第48回日本磁気共鳴医学会大会Web開催, Sep. 2020.
34.	Yuki Kinjo, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, Masaharu Ono, Yoshitaka Bito and Akihiro Haga : Spatially smoothing processing of quantitative values in voxel-based morphometry (VBM) analysis, 第76回日本放射線技術学会総会学術大会WEB開催, May 2020.
35.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Simultaneous Quantitative Calculation of Concentration of Contrast Agent, Relaxivity, and Extracellular pH Map, Japanese Journal of Radiological Technology, Apr. 2020.
36.	Yuki Matsumoto, Yuki Kanazawa, 金城祐奎, Masafumi Harada, Takashi Abe, Yasuhisa Kanematsu and Yasushi Takagi : 頸動脈狭窄の定量評価を目的とした4D-flow流体解析, 第1回 4D FLOW研究会, Sep. 2019.
37.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Calculation of extracellular pH using quantitative parameter mapping, JSMRM2019, Sep. 2019.
38.	Yuki Kinjo, Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Yuki Matsumoto, Takashi Abe, Hiroaki Hayashi, Masaharu Ono, Yoshitaka Bito and Akihiro Haga : Comparison of estimation parameters of relaxation rate and susceptibility for myelin content with quantitative parameter mapping, JSMRM2019, Sep. 2019. (Summary) To evaluate myelin content derived from QPM, we compared relaxation rate and susceptibility using simultaneously acquired imaging datasets. The relaxation rate and susceptibility derived from QPM enabled us to simultaneously and specifically evaluate structural changes and brain iron homeostasis.
39.	Yuki Kanazawa, Masafumi Harada, 谷口陽, Hiroaki Hayashi, Takashi Abe, Maki Ohtomo, Yuki Matsumoto, 小野順玄, 尾藤良孝 and Akihiro Haga : Quantitative Parameter Mappingを用いたミエリンMRI, 第75回日本放射線技術学会総会学術大会, Apr. 2019.
40.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Takashi Abe, Maki Ohtomo, Taniguchi Yo, Ono Masaharu and Bito Yoshitaka : Calculation of molar relaxivity and concentration map of Gd-DTPA map using quantitative parameter map before and after injection for brain metastasis, ISMRM Japanese Chapter, Dec. 2018.
41.	Ryoko Nagasawa, Yuki Kanazawa, Yuki Kinjoh, Daiki Chiba, Masafumi Harada, Hiroaki Hayashi, Yuki Matsumoto and Akihiro Haga : Comparison of curve fitting models of intravoxel incoherent motion analysis for shear stiffness, 第46回日本放射線技術学会秋季学術大会, Oct. 2018. (Summary) 【目的】拡散強調画像(DWI)から生体の硬さを推定するために，intravoxel incohernet motion(IVIM)手法を用いた3つの曲線解析手法を評価した．【方法】 1.5テスラMRI装置(GE社製)にて，ファントム実験を行なった．ファントムは，異なる濃度のagar(0.75，1.0，1.5，2.0wt%)をアクリルボックスの中に配列し，1 wt%のagarで満たした．DWIはsingle shot echo planner imagingを用いて，複数のb値(0，20，50，100，200，400，600，800，1000，1200，1500 s/mm2)に設定し撮像した．MR elastography(MRE)はMR touchを用いて，ドライバー周波数120 Hzに設定し撮像した．DWIは，関心領域を各サンプル内に設定し，各b値の信号値を取得した後，mono-exponential, bi-exponential, stretched-exponentialモデルを用いて曲線解析を行い，各種パラメータ(ADC，f，D，D，DDC，α)を算出した．このとき，MREのせん弾性率とDWIから取得した各種パラメータを比較した．【結果】 MREから算出した0.75，1.0，1.5，2.0 wt%ファントムのせん弾性率は，6.5，10.6，30.8，40.0 kPaであった．bi-exponentialモデルから算出したDは，MREのせん弾性率と負の相関を示した(r = 0.57)．stretched-exponentialモデルから算出したα値は，MREのせん弾性率と負の相関を示した(r = 0.80)．【結論】 stretched exponential モデルを用いた拡散解析は，生体内の組織の硬さを測定するのに有用な手法である．
42.	Yuki Kinjoh, Yuki Kanazawa, Ryoko Nagasawa, 谷口陽, 尾藤良孝, 小野順玄, Masafumi Harada, Daiki Chiba, Yuki Matsumoto and Akihiro Haga : Quantitative Parameter Mapping(QPM)を用いたミエリン描出能の検討: ポリエチレングリコールを用いたファントム実験, 第46回日本放射線技術学会秋季学術大会, Oct. 2018. (Summary) 【目的】 quantitative parameter mapping(QPM)-MRIは，一度の撮像で定量値マップや任意のコントラスト画像を計算できる手法である．本研究は，myelinと分子量の近いポリエチレングリコール(PEG)と水の含有量の違いによる信号変化を定量するために，QPM-MRIを用いて検討した. 【方法】 3テスラMRI装置(日立社製)にて，3D-partially radio frequency-spoiled steady state gradient-echo法を用いてファントム実験を行った． PEG(平均分子量，420)と水の含有量が異なる水溶液(0-50 wt%)サンプルを配置したファントムを作成した．QPM-MRIの撮像条件は，TE，4.6-22.1 ms(∆TE，3.5 ms);TR，20，40 ms;フリップ角，10，25，35，40 deg.;RF phases，2，5，8，20，22とした．QPMデータセット撮像後，T1，T2，PDの定量値マップを作成した．定量値画像の各サンプル内に関心領域を設定し，定量値を比較した．【結果】 PEG溶液(0，10，20，30，40，50 wt%)の測定した定量値は，T1，510 ± 25，342 ± 19，229 ± 13，152 ± 21，130 ± 17，118 ± 14 ms;T2，338 ± 22，300 ± 22，275 ± 39，214 ± 36，179 ± 23，189 ± 28 ms;PD，218 ± 15，142 ± 6，99 ± 6，84 ± 10，71 ± 4，77 ± 12であった．PEG濃度が高くなるとT1，T2*，PDの減少する傾向を示した．【結論】分子量の近いmyelinでも同様の傾向を示すことが予想されるので，水含有量の変化がmyelinの信号変化に影響を及ぼす可能性があることを実験的に示すことができた．QPM-MRIは，加齢や疾患によるmyelin体積減少の評価に応用できる可能性がある．
43.	Maki Ohtomo, Takashi Abe, Yuki Matsumoto, Yuki Kanazawa and Masafumi Harada : Evaluating reproducibility and gender differences of cerebral perfusion in healthy volunteers observed by multi-delay post labeling delay time ASL Multi-PLD, 第46回日本磁気共鳴学会大会, Sep. 2018.
44.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, Amgalan Enkh Dolgorsuren, Ariumbold Gankhuyag, Takamatsu Shin and Yamashita Yuichi : Determination of the thresholding values for virtual MR elastography, JSMRM2018, Sep. 2018.
45.	Yuki Kanazawa, Yuki Kinjoh, Masafumi Harada, Hiroaki Hayashi, Yo Taniguchi, Yoshitaka Bito, Yuki Matsumoto and Masaharu Ono : Construction of voxel-based morphometry of R1 and R2* derived from quantitative parameter mapping, 第46回日本磁気共鳴医学会大会, Sep. 2018. (Summary) The aim of our study is to construct of VBM using relaxation rate derived from QPM magnetic resonance imaging, i.e., novel Synthetic MRI. VBM of relaxation rates derived from QPM enable to made high quality and accuracy region matching for quantitative analysis of hemodynamic in brain.
46.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo and Miyoshi Mitsuharu : Chemical exchange saturation transfer imaging for brain tumors, 日本分子イメージング学会, Jun. 2018.
47.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, Ariunbold Gankhuyag, Amgalan Enkh Dolgorsuren and Hideki Otsuka : Virtual MR elastography using IVIM stretched model, Japanese Journal of Radiological Technology, Apr. 2018.
48.	Yuki Matsumoto, Masafumi Harada, Yuki Kanazawa, Maki Ohtomo, ARIUNBOLD GANKHUYAG, ENKH-AMGALAN DOLGORSUREN and Hideki Otsuka : Virtual-magnetic resonance elastography (MRE) using intravoxel incoherent motion (IVIM) stretched model, 第129回日本医学放射線学会中国・四国地方会, Dec. 2017.
49.	幸坂育歩, Yuki Kanazawa, 馬場幸太郎, Yuki Matsumoto, Hiroaki Hayashi and Masafumi Harada : MR Elastographyの振動波定量解析, 第45回日本放射線技術学会秋季学術大会, Oct. 2017.
50.	馬場幸太郎, Yuki Kanazawa, 幸坂育歩, Yuki Matsumoto, Hiroaki Hayashi and Masafumi Harada : lipid-rich-core プラークの物性に着目したマルチコンポーネント解析MRI, 第45回日本放射線技術学会秋季学術大会, Oct. 2017.
51.	Yuki Matsumoto, Yuki Kanazawa, Masafumi Harada, Hiroaki Hayashi, Kotaro Baba, Mitsuharu Miyoshi and Hideki Otsuka : Off-set frequency correction in brain for quantitative susceptibility mapping, JSMRM2017, Sep. 2017.
52.	Yuki Matsumoto, Yuki Kanazawa, Masafumi Harada, Hiroaki Hayashi, 馬場幸太郎, 幸坂育歩, 三好光晴 and Hideki Otsuka : 定量的磁化率マッピング(QSM)のためのオフセット周波数補正法の提案, Society of Advanced Medical Imaging (SAMI) 2017, Jul. 2017.
53.	Yuki Matsumoto, Yuki Kanazawa, Toshiaki Sasaki, Hiroaki Hayashi, Natsuki Ikemitsu, Masafumi Harada and Hideki Otsuka : Evaluation of Mechanical Waves of MR Elastography, JSRT, Apr. 2017. (Summary) [Purpose] The purpose of our study is to assess the mechanical waves that occur during MR elastography using circular statistical analysis. [Methods] On a 1.5 T MR system, we performed a phantom experiment. The phantom was composed of two blocks of agar at a concentration of 0.75 and 1.0 wt%. All imaging data were acquired using gradient echo (GRE) specialized for MRE. The imaging parameters were TE, 19.4 ms; repetition time, 50 ms; field of view, 420 × 420 mm; slice thickness, 80 mm; bandwidth 32.3 kHz; motion-encoding gradient frequency, 60 Hz; driver amplitude, 70. After acquiring the dataset, MRE images were calculated from a multi scale direct inversion algorithm. Additionally, we measured mean wavelength values of offset phase images obtained during MRE using circular statistical analysis. [Results] Mean shear stiffness values at 0.75 wt% and 1.0 wt% agar concentrations were 1.95 ± 0.35 and 6.45 ± 0.97 kPa, respectively. Mean wavelength values for each agar concentration at three column line profile settings (from left to right side) were 1000 and 1920 mm for the 20th column, 760 and 1880 mm for the 90th column, and 160 and 1960 mm for the 160th column, respectively. [Conclusion] Circular statistical analysis makes it possible to obtain and evaluate more detailed information during MRE.
54.	Yuki Matsumoto, Yuki Kanazawa, 池光捺貴, 佐々木俊晃, 臼田貴俊, Hiroaki Hayashi, 三好光晴, Masafumi Harada and Hideki Otsuka : How to make a phantom for quantitative susceptibility mapping., 第44回日本放射線技術学会秋季学術大会, Oct. 2016.
55.	佐々木俊晃, Yuki Kanazawa, Yuki Matsumoto, 池光捺貴, 臼田貴俊, Hiroaki Hayashi, 三好光晴 and Masafumi Harada : MTパルスを付加したT1値の算出, 第44回日本放射線技術学会秋季学術大会, Oct. 2016.
56.	池光捺貴, Yuki Kanazawa, Yuki Matsumoto, 臼田貴俊, Hiroaki Hayashi, 三好光晴 and Masafumi Harada : T2* phase cycle SNR, 第44回日本放射線技術学会秋季学術大会, Oct. 2016.
57.	Yuki Matsumoto, Yuki Kanazawa, Nattsuki Ikemitsu, Toshiaki Sasaki, Hiroaki Hayashi, Mitsuharu Miyosh, Masafumi Harada and Hideki Otsuka : Noise estimation of phantom phase image in ultra-short echo time imaging, JSMRM2016, Sep. 2016. (Summary) Purpose: To estimate accurately noise of phase rotation, we evaluated a signal phase of ultra-short echo time (UTE) imaging. Materials and Methods: On 3.0T MR system, we performed a phantom experiment using a dual-echo UTE imaging. The imaging parameters were TE, 0.032 ms (first-echo) and 3.3 ms (second-echo); matrix sizes, 256 ×256; slice, 16. The phantom consisted of Gd-DTPA and hydroxyapatite samples, which were made using three different concentrations of each material; Gd-DTPA, 0.5, 1.0, and 2.5 mmol/L; hydroxyapatite, 100, 200, and 350 mg/mL. Then, region of interest analysis was performed on two phase images, e.g., first-echo, and second-echo phase images. Results: The mean first-echo phase values on each Gd-DTPA (0.5, 1.0, and 2.5 mmol/L) and hydroxyapatite (100, 200, and 350 mg/mL) sample were 32.4 ± 0.04, 32.2 ± 0.04, 32.0 ±0.01, 32.4 ± 0.02, 43.6 ± 0.03, and 60.0 ± 0.01 degree, respectively. The mean second-echo phase values on each Gd-DTPA (0.5, 1.0, and 2.5 mmol/L) and hydroxyapatite (100, 200, and 350 mg/mL) sample were 39.1 ± 0.04, 36.0 ± 0.04, 35.5 ± 0.05, 137.9 ± 0.06, 83.4 ± 0.06, and 88.02 ± 0.06 degree, respectively. The mean background phase value first-echo, and second-echo were 33.5 ± 0.11 and 87.1 ± 0.12 degree, respectively. Discussion & Conclusion: The phase rotation of hydroxyapatite occurred difference of phase value in each sample, i.e., this leads good contrast in UTE image. In contrast, the phase rotation of Gd-DTPA at TE 0.032 ms is small enough to estimate noise because the Gd-DTPA phase values were almost equal. Thus, UTE imaging may lead to noise derived from a phase rotation. Noise estimation using UTE imaging may render it possible to obtain more detailed information of paramagnetic materials, e.g., Gd-DTPA.
58.	Yuki Matsumoto, Yuki Kanazawa, Usuda Takatoshi, Hiroaki Hayashi, Matsuda Tsuyoshi, Masafumi Harada and Hideki Otsuka : Dependence on echo time for quantitative susceptibility mapping (QSM) MRI., JSRT, Apr. 2016.
59.	Usuda Takatoshi, Yuki Kanazawa, Yuki Matsumoto, Hiroaki Hayashi, Masafumi Harada, Hideki Otsuka and Matsuda Tsuyoshi : Normalization of time-dependent signal change of MRI, JSRT, Apr. 2016.
60.	臼田貴俊, Yuki Kanazawa, 小西優斗, Yuki Matsumoto, Hiroaki Hayashi, Masafumi Harada and 松田豪 : Comparison of normalization methods for linearity of MR signal, 第43回日本放射線技術学会秋季学術大会, Oct. 2015.
61.	小西優斗, Yuki Kanazawa, 臼田貴俊, Yuki Matsumoto, Hiroaki Hayashi, Masafumi Harada and 松田豪 : Comparison with statistical analysis of noise correction in diffusion weighted MR image, 第43回日本放射線技術学会秋季学術大会, Oct. 2015.
62.	Yuki Kanazawa, 小西優斗, 臼田貴俊, Yuki Matsumoto, Hiroaki Hayashi, Masafumi Harada and 松田豪 : Signal correction of diffusion weighted MR imaging with application of the Rician distribution, 第43回日本磁気共鳴医学会大会, Sep. 2015.

Et cetera, Workshop:

1.	Yuki Matsumoto : Development of quantitative motion analysis portable device for movement disorders, 公益社団法人計測自動制御学会ライフエンジニアリング部門シンポジウム2021, Sep. 2021.
2.	Taku Matsuda, Hiroshi Kagusa, 梅村公子, Nori Sato, Ryoma Morigaki, Hideo Mure, Yasuhisa Kanematsu, Yuki Matsumoto, Masafumi Harada, Shinsuke Katoh and Yasushi Takagi : ロボットスーツHALを用いた脳卒中急性期リハビリテーションの当院での取り組み, 第8回日本脳神経HAL研究会, Feb. 2020.

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

A study of the relationship between cerebral quantitative susceptivility mapping and cerebral blood flow in patients with Alzheimer's disease. (Project/Area Number: 24K10735 )
Fundamental studies for the development of Gd contrast agents with high pH sensitivity (Project/Area Number: 23K14841 )
腫瘍の糖代謝とテクスチャ解析に着目した卵巣腫瘍の次世代分子イメージングの開発 (Project/Area Number: 22K09621 )
軟部腫瘍のアミノ酸代謝解析とアミドプロトン解析に着目したマルチ分子イメージング (Project/Area Number: 22K07696 )
Clinical application of extracellular pH mapping as new quantitative biomarker (Project/Area Number: 20K16759 )
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Assistant Professor : Matsumoto, Yuki

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