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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