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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-07-03
10:00
Miyagi Tohoku Univ. Sakura Hall HCP data processing by hybrid approach for parameter inference in free water imaging model of diffusion MRI -- comparison of diffusion tensor computation methods for datasets without b0 image --
Yoshitaka Masutani (Tohoku Univ.), Keigo Yamazaki, Wataru Uchida, Koji Kamagata (Juntendo Univ.), Koh Sasaki (HHC), Shigeki Aoki (Juntendo Univ.) MI2023-7
We have proposed a hybrid approach combining synthetic Q-space learning and conventional fitting for parameter estimatio... [more] MI2023-7
pp.1-2
MI 2022-01-25
14:30
Online Online Practical quantitative method of regional cerebral blood flow: diffusion imaging with phase-contrast (DIP)
Genki Nambu, Naoki Ohno, Tosiaki Miyati, Fumiki Sugita, Yuki Makino, Momoka Ikeda (Kanazawa Univ.), Noam Alperin (UM), Toshifumi Gabata, Satoshi Kobayashi (Kanazawa Univ.) MI2021-42
Perfusion-related diffusion coefficient (D*) in intravoxel incoherent motion analysis is closely correlated with the reg... [more] MI2021-42
pp.1-2
MRIS, ITE-MMS 2019-06-13
16:00
Miyagi Tohoku Univ. Surface morphology of MgO/bcc-CrMn stacked underlayer and magnetic properties of FePt thin film stacked on the underlayer
Takashi Saito, Akihiro Shimizu, Shin Saito (Tohoku Univ.) MRIS2019-6
In this study, we analyzed the surface morphology of MgO/bcc-CrMn stacked underlayer and magnetic properties of L10 type... [more] MRIS2019-6
pp.27-31
MBE, NC
(Joint)
2018-03-13
15:05
Tokyo Kikai-Shinko-Kaikan Bldg. Diffusion weighted MRI sequence with T2 prepared pulse
Kazuhiro Nakamura, Hideto Toyoshima (Akita Noken), Hajime Tamura (Tohoku Univ), Hideto Kuribayashi, Yuta Urushibata (Siemens), Toshibumi Kinoshita (Akita Noken) MBE2017-87
An image reflecting tissue water diffusion constant is obtained with the diffusion weighted image (DWI) using magnetic r... [more] MBE2017-87
pp.41-44
MBE, NC, NLP
(Joint)
2018-01-27
10:20
Fukuoka Kyushu Institute of Technology Resting-State Current Source Estimation Method using Brain Structural Connectivity
Keita Suzuki (NAIST/ATR), Okito Yamashita (ATR) NC2017-59
Current source estimation problem of Magnetoencephalography is defined as an ill-posed inverse problem because the signa... [more] NC2017-59
pp.53-57
SIS 2016-12-08
17:10
Hiroshima Hiroshima City Univ. [Invited Talk] MRI measurement of water diffusion in living body and its application for inferring anatomical structures
Masutani Yoshitaka (Hiroshima City Univ.) SIS2016-41
Diffusion MRI data consists of diffusion-weighted images with several imaging parameters, enables us to infer microstruc... [more] SIS2016-41
pp.71-72
MI 2016-01-19
13:20
Okinawa Bunka Tenbusu Kan Evaluation of Diffusional Kurtosis Imaging Analysis Obtained using RESOLVE Sequence
Atsushi Fukuyaya (Nagoya Univ.), Daisuke Iwase (KTGH), Haruo Isoda, Shuji Koyama, Tomoya Watanabe (Nagoya Univ.), Yoshiaki Komori (Siemens Japan K.K.) MI2015-96
The purpose of this study is to develop a phantom for image distortion evaluation and to evaluate the image distortion i... [more] MI2015-96
pp.109-112
NC, MBE 2015-03-16
11:50
Tokyo Tamagawa University Brain stroke validation from diffusion weighed image of twice-refocused spin-echo sequence
Kazuhiro Nakamura, Yasushi Kondoh, Toshibumi Kinoshita (Akita Noken) MBE2014-120 NC2014-71
Typical single refocused pulsed-gradient spin-echo (SRSE-DWI) sequence is interacted by susceptibility-induced backgroun... [more] MBE2014-120 NC2014-71
pp.25-28
NC, MBE 2015-03-17
13:30
Tokyo Tamagawa University Development of an Automated Fiber-tracking Method using MR Diffusion Tensor Imaging and Parcellation Map
Hodaka Miki, Tetsuo Kobayashi (Kyoto Univ) MBE2014-135 NC2014-86
【Purpose】Recently, about 1% of peoples around the world suffer schizophrenia, and the number of schizophrenic patients t... [more] MBE2014-135 NC2014-86
pp.105-110
NC, MBE 2015-03-17
14:35
Tokyo Tamagawa University Registration of functional brain images using diffusion tensor image
Takuya Fuchigami (Kyoto Univ.), Manabu Shikauchi (ATR), Yumi Shikauchi, Ken Nakae, Shigeyuki Oba, Shin Ishii (Kyoto Univ.) MBE2014-158 NC2014-109
To register functionally activated brain areas, we propose to use diffusion tensor image (DTI), because a subject's area... [more] MBE2014-158 NC2014-109
pp.233-237
MI 2015-03-02
13:40
Okinawa Hotel Miyahira Development of the phantom to measure the image distortion in the diffusion weighted image and distortion measurement in the RESOLVE sequence
Atsushi Fukuyama, Daisuke Iwase, Haruo Isoda (Nagoya Univ.), Yoshiaki Komori, Katsuya Maruyama (SIEMENS) MI2014-72
The purpose of this study is to develop a phantom for image distortion evaluation and to evaluate the image distortion i... [more] MI2014-72
pp.91-95
MI 2015-03-03
10:58
Okinawa Hotel Miyahira Total variation regularization of diffusion weighted images for reducing noise of diffusional kurtosis MRI
Yuuki Nakamura, Hirokuni Okada, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-96
Diffusional kurtosis imaging (DKI) is an MR imaging method for quantifying non-Gaussianity of water molecule based on a ... [more] MI2014-96
pp.205-208
MBE 2013-05-24
14:45
Toyama   An MR Diffusion Tensor Imaging Study on the Disruption of Cerebral White Matter Integrity in Alzheimer's Disease -- Fiber Tracking in the Cingulum --
Akifumi Hisada, Utako Yamamoto, Tetsuo Kobayashi (Kyoto Univ.), Takashi Yamazaki, Ken Nagata (Research Institute for Brain and Blood Vessels-Akita) MBE2013-9
Nowadays, over 10% of elderly people in Japan have symptoms with dementia, and the number of elderly people thought to b... [more] MBE2013-9
pp.43-48
MBE, NC
(Joint)
2013-03-13
14:35
Tokyo Tamagawa University Simulation model for temporal signal of functional diffusion MRI
Kazuhiro Nakamura (Akita Noken), Yuuji Yanase, Guoyue Chen (Akita Prefectural Univ.), Toshibumi Kinoshita (Akita Noken) MBE2012-94
Recently, diffusion weighted image (DWI) signal in magnetic resonance image have been evaluated for functional brain stu... [more] MBE2012-94
pp.35-38
MI 2013-01-24
15:15
Okinawa Bunka Tenbusu Kan Correlation of frontotemporal lobe and magnetic resonance spectroscopy in a memory function
Kyota Mitsuyama, Tetsuo Sato (NAIST), Toru Hoshida, Nobuyuki Maruyama (Nara Medical Center), Kotaro Minato (NAIST) MI2012-84
Various researches using MRI are done to the brain function. There is the method of describing the nerve fiber within a ... [more] MI2012-84
pp.113-117
MI 2012-01-19
11:20
Okinawa   MPG Reduction for Effective Diffusion MR Imaging Based on L1-norm Regularization
Kazunari Iwamoto, Hidekata Hontani (NIT), Yoshitaka Masutani (Tokyo Univ.) MI2011-83
The high angular resolution diffusion imaging (HARDI) captures high angular-resolution 3D images of diffusion MR imaging... [more] MI2011-83
pp.35-40
MI 2011-07-12
11:00
Hokkaido Hokkaido University An Analytic Solution for Diffusion Kurtosis Computation in Diffusion MR Imaging
Yoshitaka Masutani (Univ. of Tokyo), Shigeki Aoki (Juntendo Univ.) MI2011-34
Diffusion kurtosis is a parameter to quantify the non-Gaussian motion of water molecule, and is expected as a new diagno... [more] MI2011-34
pp.11-16
MI 2010-01-29
14:20
Okinawa Naha-Bunka-Tenbusu [Invited Talk] Recent Advances in Abdominal MRI and its Clinical Application
Yong Eun Chung, Se Hyung Kim (Seoul Nat. Univ. Hospital) MI2009-154
MRI systems have recently undergone dramatic improvement in capability with innovations in technology and technique. The... [more] MI2009-154
pp.423-427
MBE 2009-07-11
13:10
Tokushima The University of Tokushima Disruption of cerebral white matter integrity in schizophrenia with MR diffusion tensor imaging -- Fiber tracking of the superior longitudinal fasciculus --
Utako Yamamoto, Tetsuo Kobayashi (Kyoto Univ.), Shinsuke Kito, Yoshihiko Koga (Kyorin Univ.) MBE2009-29
We analyzed the cerebral white matter by using magnetic resonance diffusion tensor imaging (MR-DTI) that measured diffus... [more] MBE2009-29
pp.57-62
PRMU, IE, MI 2009-05-29
10:30
Gifu Gifu Univ. MR diffusion tensor tractography by searching curvature deviation in the vicinity of fiber crossing area
Takenori Oida, Yoshihide Sakagami, Tetsuo Kobayashi (Kyoto Univ.) IE2009-36 PRMU2009-27 MI2009-27
Functional magnetic resonance imaging (fMRI) gives us increasingly detailed information about the loci of brain activiti... [more] IE2009-36 PRMU2009-27 MI2009-27
pp.147-152
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