Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.

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Title: Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.
Authors: Fu F; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Lin Z; United Imaging Healthcare Co., Ltd., Shanghai, China., Yang X; United Imaging Healthcare Co., Ltd., Shanghai, China., Huang X; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Chen X; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Meng H; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China., Li B; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. lb10363@rjh.com.cn.; Institute for Medical Imaging Technology, Shanghai, China. lb10363@rjh.com.cn.
Source: European radiology [Eur Radiol] 2026 Jun; Vol. 36 (6), pp. 5169-5181. Date of Electronic Publication: 2026 Jan 31.
Publication Type: Journal Article
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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  Data: Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.
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  Data: <searchLink fieldCode="AU" term="%22Fu+F%22">Fu F</searchLink>; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Lin+Z%22">Lin Z</searchLink>; United Imaging Healthcare Co., Ltd., Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; United Imaging Healthcare Co., Ltd., Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Huang+X%22">Huang X</searchLink>; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Meng+H%22">Meng H</searchLink>; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.; Institute for Medical Imaging Technology, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Li+B%22">Li B</searchLink>; Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. lb10363@rjh.com.cn.; Institute for Medical Imaging Technology, Shanghai, China. lb10363@rjh.com.cn.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Jun; Vol. 36 (6), pp. 5169-5181. <i>Date of Electronic Publication: </i>2026 Jan 31.
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      – Type: doi
        Value: 10.1007/s00330-026-12347-4
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      – TitleFull: Deep learning for high-resolution magnetic resonance vessel wall imaging: image reconstruction, stenosis diagnosis and plaque calculation.
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            NameFull: Fu F
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              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
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