Abstract #4967

Improved Velocity-Selective Labeling Pulses for Myocardial ASL

Vanessa Landes¹, Terrence R. Jao², Ahsan Javed³, and Krishna S. Nayak³

¹Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, ²Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ³Electrical Engineering, University of Southern California, Los Angeles, CA, United States

Velocity selective ASL is an exciting option for myocardial perfusion imaging as it does not require any contrast agents and is insensitive to coronary arterial transit times. Feasibility in humans was recently demonstrated with performance primarily limited by 1) spurious labeling of moving myocardium, and 2) low labeling efficiency. We present improvements to the velocity selective labeling pulse that overcome these limitations, leveraging recent developments in velocity-selective MRA. Specifically, we use Fourier Velocity Encoding to reduce spurious labeling of moving myocardium and use inversion to increase labeling efficiency.

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