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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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