Needle-Free Myocardial Blood Flow and Reserve Quantification Using AI-Enhanced Coronary Sinus Flow MRI with Exercise CMR
We demonstrate the feasibility of a high-resolution, high-frame-rate CMR technique for quantifying post-exercise CS flow and CFR, with excellent repeatability and good agreement with perfusion-derived measures. This approach shows promise for assessing global myocardial perfusion after physiological exercise without pharmacologic stress, warranting further validation.
Authors
- W MANNING
- Alexander Schulz (ORCID: https://orcid.org/0000-0001-5589-8792)
- Reza Nezafat (ORCID: https://orcid.org/0000-0002-1963-7138)
- Tess Wallace (ORCID: https://orcid.org/0000-0002-8519-5913)
- Manuel A. Morales
- Nicole C.Y. Deng
- Eric A. Osborn
Institutions
- Beth Israel Deaconess Medical Center (US)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.jocmr.2026.102684
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00