Abstract #0573
Highly Accelerated Brain DCE MRI with Direct Estimation of Pharmacokinetic Parameter Maps
Yi Guo 1 , Yinghua Zhu 1 , Sajan Goud Lingala 1 , R. Marc Lebel 2 , and Krishna S. Nayak 1
1
Department of Electrical Engineering,
University of Southern California, Los Angeles, CA,
United States,
2
GE
Healthcare, Calgary, Alberta, Canada
In Dynamic Contrast Enhanced (DCE) MRI, pharmaco-kinetic
(PK) maps are derived from the dynamic image series and
are used for diagnostic purposes. Direct estimation of
PK parameter maps could enable high acceleration rate
and save resources required to estimate intermediate
images. Here we present a framework to directly estimate
PK parameters using a forward model and sparsity
constraint, and evaluate this method at very high
acceleration rates up to 100x, to demonstrate
feasibility.
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