*Mami Iima1,2, Masako Kataoka2, Akane Ohashi2,3, Ken Yamaguchi4, Erika Inoue3, Yukiko Tokuda5, Maya Honda6, Hiroko Satake1, Kazunori Kubota7, Tomoyuki Fujioka 8, Denis LeBihan9, Shinji Naganawa1, Yuji Nakamoto2 (1. Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine, 2. Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 3. Department of Radiology, Medical Research Institute Kitano Hospital, 4. Department of Radiology, Faculty of Medicine, Saga University, 5. Department of Radiology, Osaka University Graduate School of Medicine, 6. Department of Diagnostic Radiology, Kansai Electric Power Hospital, 7. Department of Diagnostic Radiology, Dokkyo Medical University, 8. Department of Artificial Intelligence Radiology, Tokyo Medical and Dental University, 9. NeuroSpin, Joliot Institute, Department of Fundamental Research, Commissariat a l'Energie Atomique (CEA)-Saclay)
Session information
Oral Session
Oral Session
Breast
Fri. Sep 20, 2024 3:50 PM - 4:50 PM Room 7 (Makuhari Messe International Conference Hall, Meeting Room 304)
Chairs: Kubota Kazunori(Department of Radiology, Dokkyo Medical University Saitama Medical Center), Omatsu Tokuhiko(National Institute for Quantum Science and Technology, QST hospital)
*Yoshiharu Ohno1,2, Maiko Shinohara3, Kaori Yamamoto3, Yuichiro Sano3, Masato Ikedo3, Masao Yui3, Hiroyuki Nagata2, Takahiro Ueda1, Masahiko Nomura1, Yoshiyuki Ozawa1, Shohei Harada4, Saki Takeda4, Takashi Fukuba4, Akiyoshi Iwase4, Takeshi Yoshikawa1,5, Daisuke Takenaka1,5 (1. Department of Diagnostic Radiology, Fujita Health University School of Medicine, 4. Department of Radiology, Fujita Health University Hospital, 5. Department of Diagnostic Radiology, Hyogo Cancer Center)
*Kousei Konya1, Yuki Ichinoseki1, Erina Kato2, Naoko Mori3,4, Hideki Ota2, Shunji Mugikura4, Kei Takase2, Yoshitaka Masutani1 (1. Department of Medical Image Computation, Tohoku University Graduate School of Medicine, 2. Department of Diagnostic Radiology, Tohoku University Hospital, 3. Department of Radiology, Akita University Graduate School of Medicine, 4. Division of Image Statistics, Tohoku Medical Megabank Organization, Tohoku University)
[OS1-70] DKI parameter inference by synthetic X-Q space learning and its application for breast dMRI
*Yoshitaka Masutani1, Yuki Ichinoseki1, Kousei Konya1, Erina Kato2, Naoko Mori3,4, Hideki Ota2, Shunji Mugikura4, Kei Takase2 (1. Department of Medical Image Computation, Tohoku University Graduate School of Medicine, 2. Department of Diagnostic Radiology, Tohoku University Hospital, 3. Department of Radiology, Graduate School of Medicine, Akita University, 4. Division of Image Statistics, Tohoku Medical Megabank Organization, Tohoku University)
*Yoshiharu Ohno1,2, Maiko Shinohara3, Kaori Yamamoto3, Yuichiro Sano3, Masato Ikedo3, Masao Yui3, Hiroyuki Nagata2, Takahiro Ueda1, Masahiko Nomura1, Yoshiyuki Ozawa1, Shohei Harada4, Saki Takeda4, Takashi Fukuba4, Akiyoshi Iwata4, Takeshi Yoshikawa1,5, Daisuke Takenaka1,5 (1. Department of Diagnostic Radiology, Fujita Health University School of Medicine, 4. Department of Radiology, Fujita Health University Hospital, 5. Department of Diagnostic Radiology, Hyogo Cancer Center)
*Akihiko Minami1, Mami Iima2,3, Ryosuke Mizuno4, Keiho Imanishi5, Masako Kataoka2, Yuji Nakamoto2 (1. Kyoto City Hospital, 4. A.I. System Research CO.,Ltd, 5. e-Growth Co., Ltd.)