Session Details
Image Engineering (Processing, Evaluation)
Sun. Apr 19, 2026 10:00 AM - 10:50 AM JST
Sun. Apr 19, 2026 1:00 AM - 1:50 AM UTC
Sun. Apr 19, 2026 1:00 AM - 1:50 AM UTC
F201+202
Chairperson:Ryohei Fukui(Okayama University), Satoshi Yanagita(Tsukuba International University)
[TOP-394]Comparison of unidimensional (RECIST) and volumetric RECIST (vRECIST) assessments in lymph node metastases
Chikako Tanaka1, Ryo Sakamoto2,3, Koji Fujimoto3, Motoo Nomura4, Shigemi Matsumoto2, Yuji Nakamoto3, Manabu Muto4,5 (1.Department of Diagnostic Imaging and Nuclear Medicine. Kyoto University Hospital, 2.Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, 3.Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto Unive, 4.Department of Clinical Oncology, Kyoto University Hospital, 5.Department of Therapeutic Oncology, Graduate School of Medicine, Kyoto Unive)
[TOP-395]A mathematical model of motion blur in averaged magnetic resonance images
Tatsuya Kondo1, Hiroaki Saito2, Tsutomu Kanazawa2 (1.Graduate School of Health Sciences, Niigata University, 2.Division of Radiology, Department of Clinical Technology, Niigata University Medical and Dental Hospital)
[TOP-396]Assessment of image quality in non-grid radiography with AI-based noise reduction
Takao Tanuma1,2, Katsuhiro Ichikawa3, Hiroki Kawashima3, Yuuichi Sasaki1 (1.Department of Radiological Technology, St. Marianna University Hospital, 2.Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 3.Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University)
[TOP-397]Sparse-view CT image reconstruction using tiny U-Net
Ren Kawaguchi, Yousuke Kogure, Hideyuki Sato (Department of Radiology, Juntendo University Hospital)
[TOP-398]Attempt to reconstruct cranial vascular images using two-stage deep learning networks in limited-angle CBCT
Okino Keita, Kazuyuki Ymamoto (Department of Radiological Technology, Medical Technology Division, Tokai University School of Medicine Hospital)