Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.
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| Title: | Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality. |
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| Authors: | Asari Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Yasaka K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan. koyasaka@gmail.com., Endo K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Kanzawa J; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Okimoto N; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Watanabe Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Suzuki Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Amemiya S; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan., Kiryu S; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286 - 0124, Japan., Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7 - 3- 1 Hongo, Bunkyo-Ku, Tokyo, 113 - 8655, Japan. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Feb; Vol. 39 (1), pp. 805-814. Date of Electronic Publication: 2025 Apr 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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