Abstract #0804

High-resolution Spiral First-pass Myocardial Perfusion Imaging at 1.5 T with DEep learning-based rapid Spiral Image REconstruction (DESIRE)

Junyu Wang¹, Patricia Rodriguez Lozano², and Michael Salerno^1,2,3,4

¹Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, ²Medicine, University of Virginia, Charlottesville, VA, United States, ³Radiology, University of Virginia, Charlottesville, VA, United States, ⁴Medicine, Stanford University, Stanford, CA, United States

Synopsis

First-pass contrast-enhanced myocardial perfusion imaging is useful for evaluating coronary artery disease (CAD). Spiral perfusion imaging techniques, using a motion-compensated (SMS-Slice-) L1-SPIRiT reconstruction, are capable of whole-heart high-resolution perfusion imaging. However, this reconstruction is performed off-line and takes ~30 minutes per slice. To address this, we developed a DEep learning-based rapid Spiral Image REconstruction technique (DESIRE) for spiral perfusion imaging at 1.5 T, for both single-slice (SS) and simultaneous multi-slice (SMS) MB=3 and MB=4 acquisitions, to provide rapid and high-quality reconstruction and make rapid online reconstruction feasible. High image quality was demonstrated using the proposed technique.

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