Fractional flow reserve measurement using dynamic CT perfusion imaging in patients with coronary artery disease
The novel CT-DAI algorithm can reliably compute FFR across a coronary artery stenosis directly from dynamic CT myocardial perfusion images, facilitating rapid on-site hemodynamic assessment of the epicardial coronary artery stenosis in patients with CAD.
Authors
- Aaron So (ORCID: https://orcid.org/0000-0001-9293-158X)
- Aashish Goela (ORCID: https://orcid.org/0000-0001-9373-1475)
- Ki Seok Choo (ORCID: https://orcid.org/0000-0001-5072-4259)
- Yun‐Hyeon Kim (ORCID: https://orcid.org/0000-0002-0047-0729)
- Patrick Teefy
- Yeon Hyeon Choe (ORCID: https://orcid.org/0000-0002-9983-048X)
- Ji Won Lee (ORCID: https://orcid.org/0000-0003-1800-8548)
- Mahmud Hasan (ORCID: https://orcid.org/0000-0003-3338-8163)
- Serag El-Ganga
- Mustafa Haider (ORCID: https://orcid.org/0009-0003-6670-8677)
Institutions
- Western University (CA)
- Lawson Health Research Institute (CA)
- London Health Sciences Centre (CA)
- Samsung Medical Center (KR)
- Chonnam National University Hospital (KR)
- Pusan National University Hospital (KR)
- Pusan National University Yangsan Hospital (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Radiology Advances
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1093/radadv/umae031
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada