Zobrazeno 1 - 10 of 52 pro vyhledávání: '"Keisuke Usui"'
1
Akademický článek
Reducing image artifacts in sparse projection CT using conditional generative adversarial networks
Autor: Keisuke Usui, Sae Kamiyama, Akihiro Arita, Koichi Ogawa, Hajime Sakamoto, Yasuaki Sakano, Shinsuke Kyogoku, Hiroyuki Daida
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Reducing the amount of projection data in computed tomography (CT), specifically sparse-view CT, can reduce exposure dose; however, image artifacts can occur. We quantitatively evaluated the effects of conditional generative adversarial netw
Externí odkaz: https://doaj.org/article/e58a70ed60564b52b09e8aece96246e2
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2
Akademický článek
Evaluation of motion artefact reduction depending on the artefacts’ directions in head MRI using conditional generative adversarial networks
Autor: Keisuke Usui, Isao Muro, Syuhei Shibukawa, Masami Goto, Koichi Ogawa, Yasuaki Sakano, Shinsuke Kyogoku, Hiroyuki Daida
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Motion artefacts caused by the patient’s body movements affect magnetic resonance imaging (MRI) accuracy. This study aimed to compare and evaluate the accuracy of motion artefacts correction using a conditional generative adversarial netwo
Externí odkaz: https://doaj.org/article/4409813255e34638b4a4692c33a55740
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3
Akademický článek
A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images
Autor: Keisuke Usui, Koichi Ogawa, Masami Goto, Yasuaki Sakano, Shinsuke Kyougoku, Hiroyuki Daida
Publikováno v: Radiation Oncology, Vol 17, Iss 1, Pp 1-11 (2022)
Abstract Background Four-dimensional cone-beam computed tomography (4D-CBCT) can visualize moving tumors, thus adaptive radiation therapy (ART) could be improved if 4D-CBCT were used. However, 4D-CBCT images suffer from severe imaging artifacts. The
Externí odkaz: https://doaj.org/article/748d07ce7bdc405380d09539f2ec2c3f
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4
Akademický článek
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
Autor: Keisuke Usui, Koichi Ogawa, Masami Goto, Yasuaki Sakano, Shinsuke Kyougoku, Hiroyuki Daida
Publikováno v: Visual Computing for Industry, Biomedicine, and Art, Vol 4, Iss 1, Pp 1-9 (2021)
Abstract To minimize radiation risk, dose reduction is important in the diagnostic and therapeutic applications of computed tomography (CT). However, image noise degrades image quality owing to the reduced X-ray dose and a possible unacceptably reduc
Externí odkaz: https://doaj.org/article/a7c52fdf930a4bb685960aa4dd0ca4f6
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5
Improving the accuracy of motion quantification using area detector computed tomography for real-time tumor-tracking irradiation in stereotactic ablative radiotherapy
Autor: Kentaro, Suzuki, Keisuke, Usui, Keisuke, Sasai
Publikováno v: Medical Dosimetry. 47:166-172
CyberKnife radiotherapy enables tumor-tracking irradiation using positional information regarding the tumor and a fiducial marker in a patient's body. This positional information acts as a surrogate of tumor motion. Therefore, deviations in these mov
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4e92a600ae410b68a51258af48f2cbe
https://doi.org/10.1016/j.meddos.2022.02.005
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9
The effects of rotational setup errors in total body irradiation using helical tomotherapy
Autor: Naoya Hara, Keisuke Sasai, Akira Isobe, Keisuke Usui
Publikováno v: Journal of Applied Clinical Medical Physics
Purpose Helical tomotherapy (HT) is a form of intensity‐modulated radiation therapy that is employed in total body irradiation (TBI). Because TBI targets the whole body, accurate setup positioning at the edge of the treatment volume is made difficu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174d8ec10883ff24aae211a1a2692c9f
https://doi.org/10.1002/acm2.13271
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10
Development of deep-inspiration breath-hold system that monitors the position of the chest wall using infrared rangefinder
Autor: Masaki Oshima, Naoto Shikama, Keisuke Usui, Shuko Nojiri, Akira Isobe, Yoichi Muramoto, Terufumi Kawamoto, Nanae Yamaguchi, Yasuo Kosugi, Keisuke Sasai
Publikováno v: Journal of radiation research.
We conducted a prospective study to quantitatively evaluate the movement of the chest wall to establish the simple and reproducible deep-inspiration breath-hold (DIBH) method. The left nipple position was monitored to confirm the inspiratory state. P
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74dc304659ff005e9f972cbdf340449f
https://pubmed.ncbi.nlm.nih.gov/36527722
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