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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39903239 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Matsuyama+T%22">Matsuyama T</searchLink>; Department of Radiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Nagata+H%22">Nagata H</searchLink>; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Ozawa+Y%22">Ozawa Y</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Ito+Y%22">Ito Y</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Kimata+H%22">Kimata H</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Fujii+K%22">Fujii K</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Akino+N%22">Akino N</searchLink>; Canon Medical Systems Corporation, Otawara, Japan.<br /><searchLink fieldCode="AU" term="%22Ueda+T%22">Ueda T</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Nomura+M%22">Nomura M</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Yoshikawa+T%22">Yoshikawa T</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan.<br /><searchLink fieldCode="AU" term="%22Takenaka+D%22">Takenaka D</searchLink>; Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.; Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan.<br /><searchLink fieldCode="AU" term="%22Kawai+H%22">Kawai H</searchLink>; Department of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Sarai+M%22">Sarai M</searchLink>; Department of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Izawa+H%22">Izawa H</searchLink>; Department of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.<br /><searchLink fieldCode="AU" term="%22Ohno+Y%22">Ohno Y</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2025 Aug; Vol. 35 (8), pp. 4763-4774. <i>Date of Electronic Publication: </i>2025 Feb 04. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39903239 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-025-11376-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 4763 Titles: – TitleFull: High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Matsuyama T – PersonEntity: Name: NameFull: Nagata H – PersonEntity: Name: NameFull: Ozawa Y – PersonEntity: Name: NameFull: Ito Y – PersonEntity: Name: NameFull: Kimata H – PersonEntity: Name: NameFull: Fujii K – PersonEntity: Name: NameFull: Akino N – PersonEntity: Name: NameFull: Ueda T – PersonEntity: Name: NameFull: Nomura M – PersonEntity: Name: NameFull: Yoshikawa T – PersonEntity: Name: NameFull: Takenaka D – PersonEntity: Name: NameFull: Kawai H – PersonEntity: Name: NameFull: Sarai M – PersonEntity: Name: NameFull: Izawa H – PersonEntity: Name: NameFull: Ohno Y IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2025 Aug Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 35 – Type: issue Value: 8 Titles: – TitleFull: European radiology Type: main |
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