Super-Resolution Deep Learning Reconstruction Improves Image Quality of Dynamic Myocardial Computed Tomography Perfusion Imaging.
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| Title: | Super-Resolution Deep Learning Reconstruction Improves Image Quality of Dynamic Myocardial Computed Tomography Perfusion Imaging. |
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| Authors: | Kobayashi Y; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Tanabe Y; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Morikawa T; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Yoshida K; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Ohara K; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Hosokawa T; Department of Radiology, Ehime Prefectural Imabari Hospital, Imabari 794-0006, Japan., Kouchi T; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Nakano S; Canon Medical Systems Corporation, Otawara 324-8550, Japan., Yamaguchi O; Department of Cardiology, Pulmonology, Hypertension, and Nephrology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan., Kido T; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan. |
| Source: | Tomography (Ann Arbor, Mich.) [Tomography] 2026 Jan 07; Vol. 12 (1). Date of Electronic Publication: 2026 Jan 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101671170 Publication Model: Electronic Cited Medium: Internet ISSN: 2379-139X (Electronic) Linking ISSN: 23791381 NLM ISO Abbreviation: Tomography Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2379-139X |
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| DOI: | 10.3390/tomography12010007 |
