Session Details
JSNM Oral 23:Instrumentation and engineering 2: image analysis and AI
Fri. Nov 14, 2025 4:50 PM - 6:00 PM JST
Fri. Nov 14, 2025 7:50 AM - 9:00 AM UTC
Fri. Nov 14, 2025 7:50 AM - 9:00 AM UTC
Room 7(B1F, Special Exhibition Hall B, Kyoto International Exhibition Hall 'Miyako Messe')
座長:渡部 浩司(東北大学 先端量子ビーム科学研究センター)、茨木 正信(秋田県立循環器・脳脊髄センター)
[2-MO23-1]Influence of regularization functions on linear and nonlinear image reconstruction
Hiroyuki Shinohara1,2 (1.Tokyo Metroplitan University, Tokyo, Japan、2.Showa Medical University Fujigaoka Hospital)
[2-MO23-2]Image processing for estimating right ventricular myocardial blood flow from ammonia PET
Masateru Kawakubo1、Michinobu Nagao2、Atsushi Yamamoto2、Yoko Kaimoto3、Risako Nakao4、Yuji Tsutsui5、Yuka Matsuo2、Koichiro Kaneko6、Akiko Sakai4、Shuji Sakai2 (1.Department of Health Sciences, Kyushu University, Fukuoka, Japan、2.Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan、3.Department of Radiology, Tokyo Women's Medical University, Tokyo, Japan、4.Department of Cardiology, Tokyo Women's Medical University, Tokyo, Japan、5.Department of Radiological Science, Jyunshin Gakuen University, Fukuoka, Japan、6.Department of Radiology, Fukuoka University, Fukuoka, Japan)
[2-MO23-3]An extended NEMA body phantom to detect heterogeneous distribution in texture analysis
Okuda Koichi1、Kazuma Honda1、Hiroki Yamamoto2、Yuya Watanabe3、Shozo Yamashita4、Naoyuki Ukon5、Ryutaro Mori1、Shota Hosokawa1、Yasuyuki Takahashi1 (1.Hirosaki University Graduate School of Health Sciences、2.Department of Radiology, Hirosaki University Hospital, Hirosaki, Aomori, Japan、3.Department of Radiation Science, Japan Healthcare University, Sapporo, Hokkaido, Japan.、4.Division of Radiology, Public Central Hospital of Matto Ishikawa, Hakusan, Japan.、5.Fukushima Global Medical Science Center Advanced Clinical Research Center, Fukushima Medical University, Fukushima, Japan.)
[2-MO23-4]Impact of input data type on denoising of15O PET images by deep image prior
Keisuke Matsubara1,2、Mayu Suzuki1、Masanobu Ibaraki2、Yuya Onishi3、Fumio Hashimoto3,4、Toshibumi Kinoshita2 (1.Department of Management Science and Engineering, Faculty of System science and Technology, Akita Prefectural University, YuriHonjo, Japan、2.Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels, Akita Cerebrospinal and Cardiovascular Center, Akita, Japan、3.Central Research Laboratory, Hamamatsu Photonics K. K., Hamamatsu, Japan、4.J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Florida, USA)
[2-MO23-5]Image quality assessment of18F-FDG whole-body PET phantom image using machine learning
Yuki Sato、Keiichi Matsumoto (Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan)
[2-MO23-6]Synthesizing amyloid PET images from FDG-PET images by generative AI with 2.5D training
Misa Honda1、Takahiro Yamada2、Shogo Watanabe3、Takashi Nagaoka4、Mitsutaka Nemoto4、Katsuhiro Mikami5、Kohei Hanaoka6、Hayato Kaida2,6、Hisashi Handa7、Kazunari Ishii2,6、Yuichi Kimura7 (1.Graduate School of Science and Engineering, Kindai University, Osaka, Japan、2.Department of Radiology, Faculty of Medicine, Kindai University, Osaka, Japan、3.National Cerebral and Cardiovascular Center Hospital, Osaka, Japan、4.Graduate School of Biology-Oriented Science and Technology, Kindai University, Wakayama, Japan、5.Faculty of Biology-Oriented Science and Technology, Kindai University, Wakayama, Japan、6.Division of Positron Emission Tomography, Institute of Advanced Clinical Medicine, Kindai University, Osaka, Japan、7.Faculty of Informatics, Cyber Informatics Research Institute, Kindai University, Osaka, Japan)
[2-MO23-7]Deep learning CT-less attenuation correction in FDG-PET/CT for banana artifact reduction
Koki Takamura1、Koichi Ishizu1,2、Chio Okuyama2、Tomohiro Ueno1、Naozo Sugimoto1 (1.Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan、2.Clinical Research Center, Shiga General Hospital, Shiga, Japan)
