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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.
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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  Data: Super-Resolution Deep Learning Reconstruction Improves Image Quality of Dynamic Myocardial Computed Tomography Perfusion Imaging.
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  Data: <searchLink fieldCode="AU" term="%22Kobayashi+Y%22">Kobayashi Y</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Tanabe+Y%22">Tanabe Y</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Morikawa+T%22">Morikawa T</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Yoshida+K%22">Yoshida K</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Ohara+K%22">Ohara K</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Hosokawa+T%22">Hosokawa T</searchLink>; Department of Radiology, Ehime Prefectural Imabari Hospital, Imabari 794-0006, Japan.<br /><searchLink fieldCode="AU" term="%22Kouchi+T%22">Kouchi T</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Nakano+S%22">Nakano S</searchLink>; Canon Medical Systems Corporation, Otawara 324-8550, Japan.<br /><searchLink fieldCode="AU" term="%22Yamaguchi+O%22">Yamaguchi O</searchLink>; Department of Cardiology, Pulmonology, Hypertension, and Nephrology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.<br /><searchLink fieldCode="AU" term="%22Kido+T%22">Kido T</searchLink>; Department of Radiology, Graduate School of Medicine, Ehime University, Toon 791-0295, Japan.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101671170 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2379-139X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223791381%22">23791381 </searchLink><i>NLM ISO Abbreviation: </i>Tomography <i>Subsets: </i>MEDLINE
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        Value: 10.3390/tomography12010007
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        Text: English
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      – TitleFull: Super-Resolution Deep Learning Reconstruction Improves Image Quality of Dynamic Myocardial Computed Tomography Perfusion Imaging.
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            – D: 07
              M: 01
              Text: 2026 Jan 07
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