Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease.
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| Title: | Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease. |
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| Authors: | Zhao SH; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China., Guo WF; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China., Yao ZF; Department of Cardiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Cardiovascular Diseases, Shanghai, China., Yang S; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China., Yun H; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China., Chen YY; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China., Han TT; Circle Cardiovascular Imaging, Calgary, Alberta, Canada., Zhou XY; MR Collaboration, Siemens Healthineers Ltd., Shanghai, China., Fu CX; Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China., Zeng MS; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China. mengsuzeng@sina.com.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China. mengsuzeng@sina.com., Li CG; Department of Cardiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Cardiovascular Diseases, Shanghai, China. lichenguangzs@163.com., Pan CZ; Department of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China., Jin H; Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China. ZS_jinhang@163.com.; Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai, China. ZS_jinhang@163.com. |
| Source: | European radiology [Eur Radiol] 2023 Oct; Vol. 33 (10), pp. 7238-7249. Date of Electronic Publication: 2023 May 05. |
| 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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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-023-09689-8 |
