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Abstract #2641

A Dictionary-Based Graph Cut Algorithm for MRI Reconstruction

Jiexun Xu1, Nicolas Pannetier2, Ashish Raj3

1Department of Computer Science, Cornell University, Ithaca, NY, United States; 2Department of Radiology and Department of Veterans Affairs Medical Center, University of California at San Francisco, San Francisco, CA, United States; 3Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States

Among recent parallel imaging techniques, a Bayesian method that uses Cartesian under-sampling and sophisticated edge-preserving priors (EPP) have demonstrated its success in clinical applications. Recent compressive sensing related methods have proposed random under-sampling schemes that makes denoising and removing aliasing artifacts much easier. In this work we combine the strengths of both methods and propose a novel algorithm to solve the resulting problem, and demonstrate that our algorithm out performs popular existing methods.