Session Details
Poster Session
Urogenital・Female Reproductive System
Sat. Aug 30, 2025 2:50 PM - 3:50 PM JST
Sat. Aug 30, 2025 5:50 AM - 6:50 AM UTC
Sat. Aug 30, 2025 5:50 AM - 6:50 AM UTC
Poster Room 1(Arcrea HIMEJI, 1F Exhibition Hall ABC)
Chair:Tsukasa Saida（University of Tsukuba）
[PS20-1]Comparison of Four Reconstruction Methods for Prostate T2-Weighted MRI: SENSE, CS, DL, and SR
○Noriko Nishioka1,2,3, Noriyuki Fujima1, Satonori Tsuneta1,4, Daisuke Kato1,3, Rina Kimura1,2,3, Keita Sakamoto1, Ryuji Matsumoto5, Jihun Kwon6, Masami Yoneyama6, Kohsuke Kudo1,3,7 (1.Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, 2.Department of Nuclear Medicine, Hokkaido University Hospital, 3.Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, 4.Department of Radiology, Graduate School of Dental Medicine, Hokkaido University, 5.Department of Renal and Genitourinary Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, 6.Philips Japan, 7.Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University)
[PS20-2]Evaluation of Prostate T2-Weighted Spin Echo Imaging Using Deep Learning Reconstruction: A Phantom Study
○Daisuke Ishikawa1, Hina Yamamoto1, Masaki Itagaki1, Yu Ueda2, Junko Nakanishi1, Kazunari Ishii3 (1.Radiology Center, Kindai University Hospital, 2.Philips Japan, 3.Department of Radiology, Kindai University Faculty of Medicine)
[PS20-3]Development of simple quantification method for inter-subject comparison of washout rate in dynamic contrast-enhanced MRI of prostate cancer
○Yoko Ikoma, Riwa Kishimoto, Tokuhiko Omatsu, Yasuhiko Tachibana, Takayuki Obata (Department of Molecular Imaging and Theranostics, National Institutes for Quantum Science and Technology)
[PS20-4]Differentiation of Hypervascular Renal Tumors with Low Signal on T2WI: Evaluation Using Dual Echo Time Diffusion-Weighted Imaging (Dual-TE DWI)
○Akira Yamamoto1, Tsutomu Tamada1, Yu Ueda2, Mitsuru Takeuchi3, Atsushi Higaki1, Akihiko Kanki1, Hiroyasu Sanai1, Kazunori Moriya1, Yoshiyuki Miyaji4, Yoshihiko Fukukura1 (1.Department of Radiology, Kawasaki Medical School, 2.Philips Japan, 3.Radiolonet Tokai, 4.Department of Urology, Kawasaki Medical School)
[PS20-5]Accelerated and high-quality of the female pelvis MRI using Compressed SENSE and deep learning with single-shot TSE
○Suzuko Aoike1, Satonori Tsuneta2,3, Takuya Aoike1, Hiroyuki Hagaguchi1, Kinya Ishizaka1, Noriko Nishioka2,4, Noriyuki Fujima2, Jihun Kwon5, Masami Yoneyama5, Takashi Mitamura6, Manami Sakurai6, Yutaro Suzuki6, Hiroko Matsumiya6, Hiroyuki Kurosu6, Hiroyuki Yamazaki6, Kei Ihira6, Daisuke Endo6, Yosuke Konno6, Hidemichi Watari6, Kohsuke Kudo7 (1.Department of Radiological Technology, Hokkaido University Hospital, 2.Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, 3.Department of Radiology, Graduate School of Dental Medicine, Hokkaido University, 4.Department of Nuclear Medicine, Hokkaido University Hospital, 5.MR Clinical Science, Philips Japan, 6.Department of Obstetrics and Gynecology, Graduate School of Medicine, Hokkaido University, 7.Department of Diagnostic Imaging, Hokkaido University Faculty of Medicine)
[PS20-6]Evaluation of Super-Resolution Deep Learning Reconstruction (SR-DLR) in MRI Diagnosis of Endometrial Cancer
○Takumi Tanigaki, Atsushi Nakamoto, Hideyuki Fukui, Takashi Oota, Toru Honda, Kengo Kiso, Kouki Kaketaka, Eriko Yoshidome, Mitsuaki Tatsumi, Masatoshi Hori, Noriyuki Tomiyama (Department of Radiology, Osaka Univaesity Graduate School of Medcine)
[PS20-7]Diagnostic Utility of Time-Dependent Diffusion MRI in Differentiating Normal Endometrium, Endometrial Hyperplasia, and Early Stage Endometrial Cancer
○Fumitaka Ejima1, Arata Oose1, Ryoji Yamagishi1, Kiyohisa Kamimura2, Hirokazu Otsuka3, Hiroshi Imai4, Feiweier Thorsten5, Takashi Yoshiura1,2 (1.Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 2.Department of Advanced Radiological Imaging, Kagoshima University Graduate School of Medical and Dental Sciences, 3.Department of Radiological Technology, Kagoshima University Hospital, 4.MR research & collaboration, Siemens Healthcare K.K., 5.Research & Clinical Translation, Siemens Healthineers AG)