Session Details
Poster Session
Brain AI
Sun. Aug 31, 2025 10:50 AM - 11:40 AM JST
Sun. Aug 31, 2025 1:50 AM - 2:40 AM UTC
Sun. Aug 31, 2025 1:50 AM - 2:40 AM UTC
Poster Room 1(Arcrea HIMEJI, 1F Exhibition Hall ABC)
Chair: Tomohiro Wataya(Shiga University of Medical Science)
[PS29-1]Validation of high-quality and high-speed 1.5T brain T2-weighted images using deep learning reconstruction : Comparison with 3.0T
○Takanori Yoshida, Hiroyuki Izumi, Shouichi Iwamoto, Masaaki Ichinoseki (Department of Radiology, Hakodate Neurosurgical Hospital)
[PS29-2]AI-Based Assessment of Parieto-Occipital Sulcus Atrophy
○Minghui Tang1, Hiroyuki Sugimori2, Kimihiro Ogisu3 (1.Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University, 2.Department of Biomedical Science and Engineering, Faculty of Health Sciences, Hokkaido University, 3.Department of Radiology, NHO Hakodate Medical Center)
[PS29-3]Evaluation of 3D-FSE T2-Weighted Imaging with Deep Learning Reconstruction in the Brain
○Kazuhiko Oyu1, Takuma Daimaruya1, Atsushi Nozaki2, Tetsuya Wakayama2, Shingo Kakeda3 (1.Department Radiological Technology, Hirosaki University Hospital, 2.GE Healthcare Japan, 3.Department of Radiology, Hirosaki University School of Medicine.)
[PS29-4]Effect of Denoising level in 3D T1-Weighted Image with Deep Learning Reconstruction on Centiloid Scale Calculation
○Hina Yamamoto1, Kohei Hanaoka2, Daisuke Ishikawa1, Hayato Kaida3, Kazunari Ishii3 (1.Radiology Center, Kindai University Hospital, 2.Division of Positron Emission Tomography, Institute of Advanced Clinical Medicine, Kindai University Hospital, 3.Department of Radiology, Kindai University Faculty of Medicine)
[PS29-5]Effect of Deep Learning image reconstruction algorithm on brain FLAIR images for determining the margin of affected area in gliomas
○Ryuta Ito1, Shinnosuke Hiratsuka1, Masahiro Yoshimura1, Makoto Yoshigoe1, Yoshiyuki Watanabe2, Ji-hwan Jang3 (1.Department of Radiology, Shiga University of Medical Science Hospital, 2.Department of Radiology, Shiga University of Medical Science, 3.DYNAPEX Co., Ltd.)
[PS29-6]Application of Generative Denoising Diffusion Probabilistic Models to MRI-Based Diagnostic Tasks
Li Binghua1,2, ○Zhe Sun1, Li Chao3, Aoki Shigeki1, Kamagata Koji1, Christina Andica1, Uchida Wataru1, Takabayashi Kaito1, Guo Sen1, Zhou Rui1, Tanaka Toshihisa2, Zhao Qibin3 (1.Juntendo University, 2.Tokyo University of Agriculture and Technology, 3.RIKEN Center for Advanced Intelligence Project)