2021年度研究報告

原著および査読付国際会議論文

  1. Kazumi Murata, Koichi Ogawa, “Ring-artifact correction with total-variation regularization for material images in photon-counting CT,” IEEE Transactions on Radiation and Plasma Medical Sciences, vol.5, No.4, pp.568-577, DOI 10.1109/TRPMS.2020.3022864, July, 2021

  2. Keisuke Usui, Koichi Ogawa, Masami, Goto, Yasuaki Sakano, Shinsuke Kyougoku, Hiroyuki Daita, “Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography,” Visual Computing for Industry, Biomedicine, and Art, vol.4, 21 DOI: 10.1186/s42492-021-00087-9, 2021

  3. Michi Okoshi, Kazumi Murata, Koichi Ogawa, “Improvement of the spatial resolution with a deconvolution method for a multi-pinhole SPECT system,” Conf. Rec. on IEEE Nuclear Science Symposium and Medical Imaging Conference, DOI: , 2021

  4. Ryo Shimada, Kazumi Murata, Koichi Ogawa, “Comparison of Scatter Correction Methods in a Multi-pinhole SPECT,” Conf. Rec. on IEEE Nuclear Science Symposium and Medical Imaging Conference, DOI: , 2021

  5. Shota Sezai, Kazumi Murata, Koichi Ogawa, “Development of a GPU-based Fast Computational Simulation Code for Quantitative Evaluation of Scattered Radiation,” Conf. Rec. on IEEE Nuclear Science Symposium and Medical Imaging Conference, DOI: , 2021

  6. Kazumi Murata, Koichi Ogawa, “Spectral distortion correction of photon-counting CT with machine learning,” Conf. Rec. on IEEE Nuclear Science Symposium and Medical Imaging Conference, DOI: , 2021

  7. K. Usui, K. Ogawa, M. Goto, Y. Sakano, N. Shikama, S. Kyogoku, K. Sasai, and H. Daida, “Cycle-generative adversarial network-based image correction of 4-dimensional cone-beam computed tomography for lung cancer adaptive radiation therapy,” International Journal of Radiation Oncology Biology Physics, Volume 111, Issue 3, Supplement, 1 Page e129, Nov. 2021

著書

解説論文、査読のない論文

国際会議における発表

  1. Michi Okoshi, Kazumi Murata, Koichi Ogawa, “Improvement of the spatial resolution with a deconvolution method for a multi-pinhole SPECT system,” IEEE Nuclear Science Symposium and Medical Imaging Conference, Yokohama(Japan) , Oct. 16-23, 2021

  2. Ryo Shimada, Kazumi Murata, Koichi Ogawa, “Comparison of Scatter Correction Methods in a Multi-pinhole SPECT,” IEEE Nuclear Science Symposium and Medical Imaging Conference, Yokohama(Japan) , Oct. 16-23, 2021

  3. Shota Sezai, Kazumi Murata, Koichi Ogawa, “Development of a GPU-based Fast Computational Simulation Code for Quantitative Evaluation of Scattered Radiation,” IEEE Nuclear Science Symposium and Medical Imaging Conference, Yokohama(Japan) , Oct. 16-23, 2021

  4. Kazumi Murata, Koichi Ogawa, “Spectral distortion correction of photon-counting CT with machine learning,” IEEE Nuclear Science Symposium and Medical Imaging Conference, Yokohama(Japan) , Oct. 16-23, 2021

  5. K. Usui, K. Ogawa, M. Goto, Y. Sakano, N. Shikama, S. Kyogoku, K. Sasai, and H. Daida, “Cycle-generative adversarial network-based image correction of 4-dimensional cone-beam computed tomography for lung cancer adaptive radiation therapy,” ASTRO 63rd Annual Meeting, Nov.1, 2021

国内の学会での発表

  1. Shota Sezai, Kazumi Murata, Yoshiyuki Nyui, Koichi Ogawa、“Development of a low energy photon transportation code with a GPU,” Energy calibration of photon-counting CT with K-edge absorption features”、第121回日本医学物理学会学術大会報文集（医学物理、vol.41、sup.1）, 2021(横浜)

  2. Keisuke Usui,　Kazumi Murata, Koichi Ogawa、“A performance evaluation of deep learning-based image denoising for ultra-low dose CT”、 第121回日本医学物理学会学術大会報文集（医学物理、vol.41、sup.1）, 2021(横浜)

  3. 瀬在 翔太、村田 一心、乳井 嘉之、尾川浩一、“GP-GPU を用いた光子輸送シミュレーションの高速化”、第40回日本医用画像工学会大会予稿集, pp.467-470, 2021/10/13-15(横浜市)　

  4. 大越迪、村田一心、尾川浩一、“デコンボリューション法による静止型マルチピンホールSPECTシステムの空間分解能改善”、第40回日本医用画像工学会大会予稿集, pp.281-285, 2021/10/13-15(横浜市)　

  5. 島田良、村田一心、橋本航汰、臼井桂介、尾川浩一、“ピンホールSPECTシステムにおける散乱線の定量と除去法の比較”、第40回日本医用画像工学会大会予稿集, pp.277-280, 2021/10/13-15(横浜市)　

  6. 村田一心、尾川浩一、臼井桂介、“コーンビームCTの散乱線除去のための機械学習ネットワーク”、第40回日本医用画像工学会大会予稿集, pp.390-393, 2021/10/13-15(横浜市)　

  7. Keisuke USUI, Koichi OGAWA, Masami GOTO，Yasuaki SAKANO, Shinsuke KYOGOKU, Hiroyuki DAIDA、“Image Quality Improvement for Chest Four-Dimensional Cone-Beam Computed Tomography by Cycle-Generative Adversarial Network”、第40回日本医用画像工学会大会予稿集, pp.340-351, 2021/10/13-15(横浜市)

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