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Abstract #0196

Accelerated DCE MRI using constrained reconstruction based on pharmaco-kinetic model dictionaries

Sajan Goud Lingala 1 , Yi Guo 1 , Yinghua Zhu 1 , Samuel Barnes 2 , R. Marc Lebel 3 , and Krishna S Nayak 1

1 Electrical Engineering, University of Southern California, Los Angeles, California, United States, 2 Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States, 3 GE Healthcare, Calgary, Canada

DCE-MRI of the brain is a powerful technique to assess the blood brain barrier permeability, and other neuro-vascular parameters. Current clinical DCE-MRI protocols have restricted spatial resolution, and slice coverage due to the slow MRI encoding process. In this work, we propose a novel pharmaco-kinetic dictionary approach to constrain the recovery of concentration profiles from under-sampled DCE -MRI acquisitions. Using the Patlak pharmaco-kinetic model, we construct a dictionary of temporal bases that characterize all possible time-intensity curves. The dictionary bases are extremely tolerant of noise and incoherent under-sampling artifacts as these are poorly described in the dictionary. Our approach enabled faithful reconstruction of upto reduction factor of 20 fold. We demonstrate superior fidelity in recovering Pharmaco-kinetic parameter maps in comparison to image reconstructions that are based on constraints blind to pharmaco-kinetic modeling (such as the temporal total variation constraint).

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