Session Details
Oral Session
Breast1
Fri. Aug 29, 2025 10:30 AM - 11:20 AM JST
Fri. Aug 29, 2025 1:30 AM - 2:20 AM UTC
Fri. Aug 29, 2025 1:30 AM - 2:20 AM UTC
Room 5(Arcrea HIMEJI, 4F 408)
Chairs: Mami Iima(Nagoya University), Maya Honda(Kyoto University Hospital)
[OS02-1]Complexed Signal Average Method and Super-Resolution Deep Learning Reconstruction on DWI for Improving Subtype Classification in Breast Cancer
○Takahiro Ueda1, Yoshiharu Ohno1,2, Natsuka Yazawa3, Kaori Yamamoto3, Yuichiro Sano3, Masato Ikedo3, Masanori Ozaki3, Masahiko Nomura2, Takeshi Yoshikawa1, Daisuke Takenaka1, Yoshiyuki Ozawa1 (1.Department of Diagnostic Radiology, Fujita Health University School of Medicine, 2.Joint Research Laboratory of Advanced Medical Imaging and Artificial Intelligence, Fujita Health University School of Medicine, 3.Canon Medical Systems Corporation)
[OS02-2]Development of an ADC quantification methodology robust to differences in phantom temperature toward breast DWI standardization
○Takashi Ueguchi1,2,3,4, Tomoki Haji1, Sachiko Yamada5, Yuto Kumano5, Yukiko Tokuda2, Ken Yamaguchi6, Kiyoshi Dogomori6, Yutaka Kato7, Kazushige Ichikawa7, Hiroko Satake7, Kazunori Kubota8, Tomoyuki Fujioka8, Kazunori Ohashi8, Masako Kataoka9, Reika Sawaya5, Yoshihiro Koyama5, Mami Iima10 (1.Center for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology, 2.Department of Radiology (Radiation Oncology and Diagnostic and Interventional Radiology), Division of Medicine, The University of Osaka Graduate School of Medicine, 3.Department of Medical Imaging Science, Division of Health Sciences, The University of Osaka Graduate School of Medicine, 4.Department of Rehabilitation Science, Kobe University Graduate School of Health Sciences, 5.Department of Radiology, The University of Osaka Hospital, 6.Departments of Radiology and Radiological Technology, Saga University Hospital, 7.Departments of Radiological Technology and Radiology, Nagoya University Hospital, 8.Department of Radiology, Dokkyo Medical University Saitama Medical Center, 9.Preemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, 10.Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine)
[OS02-3]Pectoral Muscle Invasion on Preoperative MRI for Breast Malignancies: A Retrospective Study with Non-contrast T1WI and Fat-suppressed CE T1WI
○Azusa Nishimoto1, Masako Kataoka2, Maya Honda2, Aika Okazawa1, Yasuhide Takeuchi3, Mami Iima4, Rie Ota5, Norikazu Masuda6, Yuji Nakamoto1 (1.Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine Kyoto University, 2.Preemptive Medicine and Lifestyle-related Disease Research Center Kyoto University Hospital, 3.Department of Diagnostic Pathology, Graduate School of Medicine Kyoto University, 4.Graduate School of Medicine Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine, 5.Department of Radiology, Tenri Hospital, 6.Department of Breast Surgery, Graduate School of Medicine Kyoto University)
[OS02-4]Image quality improvement of T2W-STIR in breast MRI with image reconstruction utilizing deep learning
○Masako Kataoka1, Maya Honda1, Naoki Oku2, Hajime Sagawa2, Azusa Nishimoto3, Yuta Urushibata4, Yuji Nakamoto3 (1.Preemptive Medicine and Lifestyle-related Disease Research Center , Kyoto University Hospital, 2.Division of Clinical Radiology Service, Kyoto University Hospital, 3.Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 4.Siemens Healthineer, Tokyo, Japan)
[OS02-5]Comparison of three regressors in IVIM-DKI model parameter estimation by synthetic Q-space learning
○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)