T
Tomoyuki Hasegawa
Researcher at Kitasato University
Publications - 86
Citations - 679
Tomoyuki Hasegawa is an academic researcher from Kitasato University. The author has contributed to research in topics: Monte Carlo method & Detector. The author has an hindex of 11, co-authored 85 publications receiving 561 citations. Previous affiliations of Tomoyuki Hasegawa include Mitsubishi Electric & National Institute of Radiological Sciences.
Papers
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Journal ArticleDOI
Transaxial system models for jPET-D4 image reconstruction.
Taiga Yamaya,Naoki Hagiwara,Takashi Obi,Masahiro Yamaguchi,Nagaaki Ohyama,Keishi Kitamura,Keishi Kitamura,Tomoyuki Hasegawa,Hideaki Haneishi,Eiji Yoshida,Naoko Inadama,Hideo Murayama +11 more
TL;DR: A transaxial imaging system model optimized for jPET-D4 with the DOIC method, which assumes that detector response functions (DRFs) are uniform along line-of-responses (LORs) and each element of the system matrix is calculated as the summed intersection lengths between a pixel and sub-Lors weighted by a value from the DRF look-up-table.
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Coincidence time resolution of 30 ps FWHM using a pair of Cherenkov-radiator-integrated MCP-PMTs.
Ryosuke Ota,K. Nakajima,Izumi Ogawa,Yoichi Tamagawa,Hideki Shimoi,Motohiro Suyama,Tomoyuki Hasegawa +6 more
TL;DR: A Cherenkov-radiator-integrated micro-channel plate photomultiplier tube (CRI-MCP-PMT) is developed, where there are no optical boundaries between the radiator and photocathode, and its timing performance was investigated, resulting in high timing capability.
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Preliminary resolution performance of the prototype system for a 4-Layer DOI-PET scanner: jPET-D4
Taiga Yamaya,Naoki Hagiwara,Takashi Obi,Tomoaki Tsuda,Keishi Kitamura,Tomoyuki Hasegawa,Hideaki Haneishi,Naoko Inadama,Eiji Yoshida,Hideo Murayama +9 more
TL;DR: In this article, a high-performance brain PET scanner, jPET-D4, which provides 4-layer depth-of-interaction (DOI) information obtained from multi-layered thin crystals is presented.
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DOI-PET image reconstruction with accurate system modeling that reduces redundancy of the imaging system
Taiga Yamaya,Naoki Hagiwara,Takashi Obi,Masahiro Yamaguchi,Kouichi Kita,Nagaaki Ohyama,Keishi Kitamura,Tomoyuki Hasegawa,Hideaki Haneishi,Hideo Murayama +9 more
TL;DR: A compressed imaging system model for DOI-PET image reconstruction, in order to reduce computational cost while keeping image quality, and results show that the proposed method followed by ML-EM reduces computational cost effectively while keeping the advantages of the accurate system modeling and DOI information.
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Ultrafast timing enables reconstruction-free positron emission imaging
Sun Il Kwon,Ryosuke Ota,Eric Berg,Fumio Hashimoto,K. Nakajima,Izumi Ogawa,Yoichi Tamagawa,Tomohide Omura,Tomoyuki Hasegawa,Simon R. Cherry +9 more
TL;DR: In this paper, a Cherenkov radiation detector detects gamma rays produced by positron-electron annihilation and combines with a convolutional neural network for timing estimation, resulting in an average timing precision of 32