Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities.
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| Title: | Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities. |
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| Authors: | Nishioka N; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.; Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan., Shimizu Y; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan. yshimizu7298@med.hokudai.ac.jp.; Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan. yshimizu7298@med.hokudai.ac.jp., Kaneko Y; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Shirai T; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Suzuki A; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Amemiya T; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Ochi H; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Bito Y; Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.; FUJIFILM Healthcare Corporation, Tokyo, Japan., Takizawa M; FUJIFILM Healthcare Corporation, Tokyo, Japan., Ikebe Y; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.; Center for Cause of Death Investigation, Faculty of Medicine, Hokkaido University, Sapporo, Japan., Kameda H; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.; Faculty of Dental Medicine, Department of Radiology, Hokkaido University, Sapporo, Japan., Harada T; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.; Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan., Fujima N; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.; Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan., Kudo K; Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan.; Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.; Center for Cause of Death Investigation, Faculty of Medicine, Hokkaido University, Sapporo, Japan.; Division of Medical AI Education and Research, Hokkaido University Graduate School of Medicine, Sapporo, Japan. |
| Source: | Japanese journal of radiology [Jpn J Radiol] 2025 Feb; Vol. 43 (2), pp. 200-209. Date of Electronic Publication: 2024 Sep 24. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X (Electronic) Linking ISSN: 18671071 NLM ISO Abbreviation: Jpn J Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1867-108X |
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| DOI: | 10.1007/s11604-024-01666-5 |
