Abstract #0868

Direct Reconstruction of Kinetic Parameter Maps in Accelerated Brain DCE-MRI using the Extended-Tofts Model

Yi Guo¹, Sajan Goud Lingala¹, Yinghua Zhu¹, R. Marc Lebel², and Krishna S Nayak¹

¹Electrical Engineering, University of Southern California, Los Angeles, CA, United States, ²GE Healthcare, Calgary, AB, Canada

Pharmacokinetic (PK) parameter maps derived from DCE-MRI provide quantitative physiological information that aids in cancer diagnosis and assessment of treatment response. Recently, direct reconstruction of PK maps from under-sampled k,t-space has shown great potential to provide optimal detection of kinetic parameter maps from an information theoretic perspective. We build on prior work (using the Patlak model) and demonstrate direct reconstruction of kinetic parameter maps using the extended-Tofts model, which is a more appropriate model in brain tumor. We demonstrate convergence behavior, computational efficiency, and application to brain DCE-MRI.

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