Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.

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Bibliographic Details
Title: Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality.
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
Description
ISSN:2948-2933
DOI:10.1007/s10278-025-01522-6