Session Details
Poster Session
Liver・Gallbladder・Pancreas 1
Sat. Aug 30, 2025 9:40 AM - 11:00 AM JST
Sat. Aug 30, 2025 12:40 AM - 2:00 AM UTC
Sat. Aug 30, 2025 12:40 AM - 2:00 AM UTC
Poster Room 3(Arcrea HIMEJI, 1F Exhibition Hall ABC)
Chairs: Satoshi Funayama(Hamamatsu University School of Medicine), Masahiro Tanabe（Yamaguchi University Graduate School of Medicine）
[PS11-1]Evaluation of Respiratory Synchronization Methods in Abdominal IVIM Quantification
○Chinatsu Yamakawa1, Shingo Nito1, Atsushi Kondo1, Keita Nagawa2, Eito Kozawa2 (1.Department of Radiology, Saitama Medical University Hospital, 2.Department of Radiology, Saitama Medical University)
[PS11-2]Liver and Pancreatic Adaptive Average DWI: Impact of Signal Averaging on Image Quality
○Takahiro Tsuboyama1, Yuichiro Somiya2, Ryutaro Yano3, Tomonari Ishida3, Keitaro Sofue1, Akiko Kusaka2,3, Takamichi Murakami1 (1.Department of Radiology, Kobe University Graduate School of Medicine, 2.Division of Radiology, Center for Radiology and Radiation Oncology, Kobe University Hospital,, 3.Canon Medical Systems)
[PS11-3]Evaluation of a Novel Free-Breathing 3D-TSE MRCP Sequence Using Centric K-Space Trajectory: A Prospective Study
○Junya Tsuzaki1, Taiki Nozaki1,2, Daiki Ito3, Tetsushi Habe3, Sayaka Miyazaki1, Manabu Arai1, Manabu Hase1, Yoshitake Yamada1, Masahiro Jinzaki1 (1.Department of Radiology, Keio University School of Medicine, 2.Department of Radiology, National Defense Medical College, 3.Office of Radiation Technology, Keio University Hospital)
[PS11-4]The Effect of Differences in Reference Data Collection on Image Quality in HASTE Imaging
○Takahito Bessho, Keiya Hirata, Kouhei Yakushi, Yasuhiro Katou, Chihiro Nagasako, Shiori Yoshida, Honami Ogawa, Yuuya Morota, Hiroshi Yamamura (Department of Radiological Technology, Department of Medical Technology, Kanazawa Medical University Hospital)
[PS11-5]Preliminary experience of MRCP with Deep Learning reconstruction: comparison with respiratory-gated conventional MRCP
○Kazuki Oyama1, Fumihito Ichinohe1, Yasuo Adachi2, Yoshihiro Kito2, Katsuya Maruyama3, Minoru Mitsuda4, Alto Stemmer5, Yasunari Fujinaga1 (1.Radiology Division, Shinshu University School of Medicine, 2.Division of Radiology, Shinshu University Hospital, 3.MR Research and Collaboration Department, Siemens Healthcare K.K, 4.Magnetic Resonance Department, Siemens Healthcare K.K, 5.MR Application Predevelopment, Siemens Healthcare GmbH)
[PS11-6]Liver diffusion-weighted imaging using deep-learning-based POCS partial Fourier method
○Masahiro Takizawa, Yuya Hirakawa, Atsuro Suzuki, Hiroki Shoji, Chikako Moriwake, Taisei Ueda, Toru Shirai (FUJIFILM Corporation)
[PS11-7]Accuracy assessment of proton density fat fraction and R2* quantification using chemical shift-encoded MRI with Deep Learning-based Compressed SENSE
○Ken Masuyama, Masakazu Shioda, Yuusaku Harada (Teine Keijinkai Hospital)
[PS11-8]Single breath-hold multi-dynamic 3D GraSE MRCP with deep-learning constrained Compressed SENSE
○Takumi Ogawa1, Masami Yoneyama3, Michinobu Nagao2, Yasutomo Katsumata3, Mana Kato1, Yasuhiro Goto1, Isao Shiina1, Yutaka Hamatani1, Kazuo Kodaira1, Syuji Sakai2 (1.Department of Radiological Services, Tokyo Women's Medical University Hospital, 2.Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University Hospital, 3.Philips Japan)
[PS11-9]A Novel Undersampled Deep-Learning Reconstruction (DL Speed) in EOB-enhanced Multi-arterial Phase MRI: Comparison with Conventional Rapid Acquisition
○Keisuke Sato1, Shinji Takana1, Gaku Honda1, Kazuki Goto1, Yukihisa Takayama1, Atsushi Nozaki2, Xucheng Zhu3, Ty Cashen4, Arnaud Guidon5, Tetsuya Wakayama2, Kengo Yoshimitsu1 (1.Department of Radiology, Fukuoka University, 2.Ge HealthCare, Hino, Japan, 3.Ge HealthCare, Menlo Park, CA, USA, 4.GE HealthCare, Madison, WI, USA, 5.GE HealthCare, Boston, USA)