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Abstract #4902

Radial perfusion cardiac magnetic resonance imaging using deep learning image reconstruction.

Salah Assana1, Manuel Morales1, Kei Nakata1, Eiryu Sai1, Amine Amyar1, Hassan Haji-Valizadeh1, and Reza Nezafat1
1Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center, Boston, MA, United States


Myocardial perfusion assessment using cardiac MRI allows non-invasive assessment of myocardial ischemia. In myocardial perfusion sequence, imaging is collected after a saturation pulse. An alternative approach based on steady-state imaging with radial sampling has been recently proposed. However, image reconstruction using compressed sensing in steady-state myocardial perfusion remains long and clinically not feasible. In this study, we sought to develop a deep learning-based image reconstruction platform for myocardial perfusion imaging.

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