Rchr
J-GLOBAL ID：202001021338736910
Update date: Apr. 20, 2024
Fukui Ryohei
Fukui Ryohei
Affiliation and department：
Research field (1)：
Radiology
Research keywords (3)：
deep learning
, tomosynthesis
, x-ray image
Research theme for competitive and other funds (3)：
- 2023 - 2026 人工知能を応用した疑似トモシンセシス画像によるマンモトーム生検精度向上技術の開発
- 2020 - 2021 人工知能技術を応用した患者被ばくを低減する新しいPET検査法の提案
- 2013 - 2014 X線画像評価用模型(ファントム)の試作と評価に関する研究
Papers (17)：
-
Katsuhiro Kida, Takamasa Kurosaki, Ryohei Fukui, Ryutaro Matsuura, Sachiko Goto. Native myocardial T1 mapping using inversion recovery T1-weighted turbo field echo sequence. Radiological Physics and Technology. 2024. in press
-
Takuya Akagawa, Sachiko Goto, Ryohei Fukui, Katsuhiro Kida, Ryutaro Matsuura, Makoto Shimada, Mitsuhiro Kinoshita, Yoko Akagawa. Assessment of a New Elbow Joint Positioning Method Using Area Detector Computed Tomography. Acta Medica Okayama. 2024. in press
-
Masahiro Miyai, Ryohei Fukui, Masahiro Nakashima, Sachiko Goto. Deep learning-based attenuation correction method in 99mTc-GSA SPECT/CT hepatic imaging: A phantom study. Radiological Physics and Technology. 2024. 17. 1. 165-175
-
Aiko Hayashi, Ryohei Fukui, Shogo Kamioka, Kazushi Yokomachi, Chikako Fujioka, Eiji Nishimaru, Masao Kiguchi, Junji Shiraishi. Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network. Radiological Physics and Technology. 2024. 17. 1. 83-92
-
Makoto Shimada, Tae Ikeda, Ryohei Fukui, Katsuhiro Kida, Ryutaro Matsuura, Takuya Akagawa, Sachiko Goto. Proposal for diagnosis using FLAIR image aimed for pediatric MELAS with recurrent stroke-like episodes on MRI system cannot take ASL imaging. Egyptian Pediatric Association Gazette. 2023. 71. 85
ｍore...
Lectures and oral presentations (26)：
-
Proposal of a new index of resolution characteristics using DCNN in CT images
(Korean Society of Radiological Science 2023 2023)
-
CT画像におけるDCNNを利用した新たな解像特性の指標
(第79回日本放射線技術学会総会学術大会 2023)
-
深層学習を用いた99mTc-肝受容体シンチグラフィにおける疑似CT画像生成の試み
(第79回日本放射線技術学会総会学術大会 2023)
-
Suggestion for the dose reduction of the tomosynthesis imaging by using the generated interpolation image based on the deep learning
(Radiological Society of North America 108th Scientific Assembly and Annual Meeting (RSNA2022) 2022)
-
部位別アーチファクト除去処理がCT解像特性に及ぼす影響の基礎的検討
(第18回中四国放射線医療技術フォーラム(CSFRT2022) 2022)
ｍore...
Education (2)：
- 2015 - 2018 Kumamoto University Graduate School of Health Sciences
- 2004 - 2008 Okayama University Medical School Department of Radiological Technology, Faculty of Health Sciences
Professional career (2)：
- 博士(保健学) (熊本大学)
- 学士(保健学) (岡山大学)
Return to Previous Page
