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Abstract #2379

Myocardial ASL with improved sensitivity to MBF using Parallel Imaging

Hung Phi Do 1 , Terrence R Jao 2 , and Krishna S Nayak 3

1 Department of Physics & Astronomy, University of Southern California, Los Angeles, California, United States, 2 Biomedical Engineering Department, University of Southern California, Los Angeles, California, United States, 3 Electrical Engineering Department, University of Southern California, Los Angeles, California, United States

Arterial spin labeling (ASL) is a promising technique for the assessment of myocardial perfusion and perfusion reserve without the use of exogenous contrast agent. Current myocardial ASL techniques, however, have low sensitivity due to high physiological noise. We demonstrate a statistically significant (p<0.04) reduction in physiological noise when the imaging window is shortened from 300ms to 150ms or 100ms, using rate-2 or rate-3 parallel imaging, respectively. We show that when the imaging window is longer than 150ms, cardiac motion is the dominant source of physiological noise in myocardial ASL.

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