The 53rd Annual Meeting of the Japanese Society for Magnetic Resonance in Medicine
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Session Details

Oral Session

Oral Session
Heart・Vessels 1

Fri. Aug 29, 2025 11:10 AM - 12:20 PM JST
Fri. Aug 29, 2025 2:10 AM - 3:20 AM UTC
Room 4(Arcrea HIMEJI, 4F 407)
Chairs: Noriko Oyama-Manabe(Jichi Medical University Saitama Medical Center), Takashi Iwanaga(Kagoshima University Hospital)

[OS01-1]Evaluation of 3D-QALAS sequences with deep learning-based reconstruction of compressed sensing for myocardial T1 and T2 map: a phantom study

○Tatsuhiro Wada1, Koji Sagiyama2, Chiaki Tokunaga1, Yuzo Yamasaki2, Makoto Obara3 (1.Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 2.Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3.Philips Japan)
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[OS01-2]Image-Based Deep Learning Reconstruction for Accelerated and Improved Image Quality of BRIDGE Imaging in Thoracic Aorta

○Yoshihiko Tachikawa1,2, Risa Ishikawa1 (1.Division of Radiological Technology, Department of Medical Technology, Karatsu Red Cross Hospital, 2.Graduate School of Health Sciences, Kumamoto University)
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[OS01-3]Extracellular Volume Measurement Using High-Resolution systolic T1 Mapping with Compressed Sensing in Repaired Tetralogy of Fallot

○Daisuke Nishigake1,2, Yuzo Yamasaki3, Kenichiro Yamamura4, Yuya Saito1, Tatsuhiro Wada1, Chiaki Tokunaga1, Takuya Hino3, Tomoyuki Hida3, Koji Sagiyama3, Toyoyuki Kato1, Hidetake Yabuuchi5, Kousei Ishigami3 (1.Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 2.Department of Health Sciences, Graduate school of Medical Sciences, Kyushu University, 3.Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 4.Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, 5.Department of Health Sciences, Faculty of Medical Sciences, Kyushu University)
Comment()

[OS01-4]Usefulness of T2-prep based T2 mapping using Fast Elastic Image Registration (FEIR) with single-shot Balanced Turbo Field Echo

○Yui Murata1, Yoshiaki Morita1, Masaru Shiotani1, Ryougo Enoki1, Hare Ikeda1, Atsuhiko Okada1, Yasutoshi Ohta1, Keizo Murakawa1, Tetsuya Fukuda1, Yu Ueda2, Masami Yoneyama2, Tomohiro Mochizuki2 (1.Department of Radiology, National Cerebral and Cardiovascular Center, 2.Philips Japan)
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[OS01-5]Initial Evaluation of 3T Cardiac Cine MRI Image Quality with Deep Learning Reconstruction (Sonic DLTM)

○Toshihiro Sakamoto1, Yoshiko Hayashida1, Akitaka Fujisaki1, Shou Shin2, Hidekuni Narimatsu2, Takatoshi Aoki1 (1.Department of Radiology, University of Occupational and Environmental Health, 2.Department of Radiology, Hospital of University of Occupational Environmental Health)
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[OS01-6]Prediction of Inversion Time Patterns Using Native T1 and Wall Thickness in Late Gadolinium Enhancement Cardiac MRI

○Takuya Kobata, Tatsuya Yamasaki, Yuji Miyatake, Koki Takeno, Mai Danjyobara (Devision of of Clinical Radiology, Department of Medical Technology, Kagawa University Hospital)
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[OS01-7]ECG- and PPG-Gated PREFUL MRIs vs. CE-Perfusion MRI: Capabilities for Perfusion and Functional Change Assessments

○Yoshiyuki Ozawa1,Yoshiharu Ohno1,2, Masanori Ozaki3, Masao Yui3, Maiko Shino3, Natsuka Yazawa3, Kaori Yamamoto3, Yuichiro Sano3, Takahiro Ueda1, 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)
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