High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studies.
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| Title: | High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studies. |
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| Authors: | Matsuyama T; Department of Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Nagata H; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan., Ozawa Y; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Ito Y; Canon Medical Systems Corporation, Otawara, Japan., Kimata H; Canon Medical Systems Corporation, Otawara, Japan., Fujii K; Canon Medical Systems Corporation, Otawara, Japan., Akino N; Canon Medical Systems Corporation, Otawara, Japan., Ueda T; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Nomura M; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan., Yoshikawa T; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan., Takenaka D; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan., Kawai H; Department of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan., Sarai M; Department of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan., Izawa H; Department of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan., Ohno Y; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp. |
| Source: | European radiology [Eur Radiol] 2025 Aug; Vol. 35 (8), pp. 4763-4774. Date of Electronic Publication: 2025 Feb 04. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-025-11376-9 |
