2025年度研究報告

原著および査読付国際会議論文

  1. Soya Yagi, Keisuke Usui, Koichi Ogawa, “Scatter and beam hardening effect corrections in pelvic region cone-beam CT images using a convolutional neural network,” Radiological Physics and Technology (RPTE), https://doi.org/10.1007/s12194-025-00896-0, 2025

  2. Yudai Nawano, Koichi Ogawa, “High-Speed Image Reconstruction Using the ML-EM Method with a Look-Up Table Based on the Volume Integral Model,” IEEE NSS/MIC, https://doi.org/10.1109/NSS/MIC/RTSD57106.2025.11287702, Yokohama(Japan), Nov 1–8, 2025

  3. Takumi Akatsuka, Koichi Ogawa, “Removal of Projection Data Overlaps Using Deep Learning in SPECT with a Large Number of Pinholes,” IEEE NSS/MIC, https://doi.org/10.1109/NSS/MIC/RTSD57106.2025.11286491, Yokohama(Japan), Nov 1–8, 2025

  4. Shuto Inaba, Koichi Ogawa, “Attenuation and Scatter Correction for Dedicated Myocardial SPECT Using Deep Learning,” IEEE NSS/MIC, https://doi.org/10.1109/NSS/MIC/RTSD57106.2025.11287531, Yokohama(Japan), Nov 1–8, 2025

  5. Ryoga Okachi, Koichi Ogawa, “Resolution Recovery of Multi-pinhole SPECT Images Using a Convolutional Neural Network,” IEEE NSS/MIC, https://doi.org/10.1109/NSS/MIC/ RTSD57106.2025.11286553, Yokohama(Japan), Nov 1–8, 2025

著書

解説論文、査読のない論文

国際会議における発表

  1. Takumi Okuma, Yoshiyuki Nyui, Koichi Ogawa、“Quantitative evaluation of scatter correction methods with deep learning in digital breast tomosynthesis,” International Forum on Medical Imaging in Asia 2025 (IFMIA 2025), Takamatsu(Japan), 2025/3/20-21

  2. Hideyuki Niwa, Koichi Ogawa、“Image reconstruction of pinhole SPECT using 3D similarity-driven median regularization,” International Forum on Medical Imaging in Asia 2025 (IFMIA 2025), Takamatsu(Japan), 2025/3/20-21

  3. Takumi Akatsuka, Koichi Ogawa, “Separation of projection images in a multiplexed pinhole SPECT system using convolutional neural networks,” CARS 2025 Computer Assisted Radiology and Surgery, Berlin(Germany), June 17 - 20, 2025

  4. Shuto Inaba, Koichi Ogawa, “Quantitative myocardial SPECT imaging without m-maps using convolutional neural networks,” CARS 2025 Computer Assisted Radiology and Surgery, Berlin(Germany), June 17 - 20, 2025

  5. Yudai Nawano, Koichi Ogawa, “Comparison of approximation methods for the detection probability of the ML-EM method in pinhole SPECT imaging,” CARS 2025 Computer Assisted Radiology and Surgery, Berlin(Germany), June 17 - 20, 2025

  6. Takumi Akatsuka, Koichi Ogawa, “Separation of projection images in multi-pinhole SPECT system using a deep learning,” IUPESM 2025 World congress on Medical Physics and Biomedical Engineering, Adelaide(Australia), Sep 29 – Oct 4, 2025

  7. Shuto Inaba, Koichi Ogawa, “Scatter and attenuation correction for myocardial SPECT using convolutional neural networks,” IUPESM 2025 World congress on Medical Physics and Biomedical Engineering, Adelaide(Australia), Sep 29 – Oct 4, 2025

  8. Yudai Nawano, Koichi Ogawa, “Accelerating ML-EM image reconstruction using tabulated Siddon's method,” IUPESM 2025 World congress on Medical Physics and Biomedical Engineering, Adelaide(Australia), Sep 29 – Oct 4, 2025

国内の学会での発表

  1. 縄野 勇大, 尾川 浩一,” Siddonの方法のテーブル化によるML-EM画像再構成の高速化”, 第44回日本医用画像工学会大会, 8/28-30、2025 (東京)

  2. 赤塚巧光, 尾川 浩一,” 3種類のCNNモデルによるマルチピンホールSPECTの重複投影画像の分離”, 第44回日本医用画像工学会大会, 8/28-30、2025 (東京)

  3. 稲葉修士, 尾川 浩一,”心筋SPECTにおける深層学習を用いた吸収マップを使わない吸収と散乱補正”, 第130回日本医学物理学会学術大会, 2025/9/19－21(柏市)

  4. 赤塚巧光, 尾川 浩一,” CNNによる準静止型マルチピンホールSPECTのマルチプレックス投影データを分離する際のオーバーラップエリアの限界”, 第130回日本医学物理学会学術大会, 2025/9/19－21(柏市)

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