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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