Session Details
PET (Image Processing)
Thu. Apr 16, 2026 1:00 PM - 1:50 PM JST
Thu. Apr 16, 2026 4:00 AM - 4:50 AM UTC
Thu. Apr 16, 2026 4:00 AM - 4:50 AM UTC
F203+204
Chairperson:Hiromitsu Daisaki(Gunma Prefectural College of Health Sciences), Masayα Suda(Ibaraki Prefectural University of Health Sciences)
[TOP-149]Impact of combining deep learning based CT reconstruction with metal artifact reduction on quantitative accuracy in PET/CT
Shoya Tokushige1, Norikazu Matsutomo2, Toshinori Abe1, Chihiro Nanasawa1 (1.Department of Radiological Technology, Kawasaki Medical School Hospital, 2.Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare)
[TOP-150]Effect of radiomic features differences on accuracy and uncertainty in deep learning models for colorectal FDG-PET uptake classification
Kazuhiro Ishida, ko Sasaki, Kaoru Ono, Yutaka Hirokawa (Hiroshima Heiwa Clinic Oncologic Imaging Center)
[TOP-151]Exploring the potential of mass density SUV using generative adversarial networks
Toyohiro Imai1, Tadahiko Ishihara1, Takayuki Miura1, Tosiharu Miyoshi1, Tethuro Kaga2, You Kaneko2, Masanonri Mathuo3 (1.Department of Radiology Services, Gifu University Hospital, 2.Department of Radiology, Gifu University Hospital, 3.Center for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University)
[TOP-152]Advancing INOCA assessment through layer-specific myocardial blood flow quantification with 13N-ammonia PET
Naochika Akiya1, Reiji Ito2, Kenta Miwa1,2, Kaito Wachi1, Michinobu Nagao3, Yoko Kaimoto4, Kenji Fukushima5 (1.Graduated School of Health Science, Fukushima Medical University, 2.Department of Radiological Sciences, School of Health Science, Fukushima Medical University, 3.Department of Diagnostic Radiology and Nuclear Medicine, Tokyo Women's Medical University, 4.Department of Radiological Services, Tokyo Women's Medical University Hospital, 5.Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University)
[TOP-153]Automated 3D segmentation and GFR quantification from dynamic renal 18F-FDS PET imaging
Tensho Yamao1,2, Rudolf A Werner3, Takahiro Higuchi2,4, Kenta Miwa1 (1.Fukushima Medical University, 2.Department of Nuclear Medicine and Comprehensive Heart Failure Center, University Hospital of Wurzburg, 3.Department of Nuclear Medicine, Ludwig-Maximilians University Munich, 4.Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University)