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Abstract #0072

Location Constrained Approximate Message Passing (LCAMP) Algorithm for Compressed Sensing

Kyunghyun Sung1, Bruce L. Daniel1, Brian A. Hargreaves1

1Radiology, Stanford University, Stanford, CA, USA

Iterative thresholding methods have been extensively studied as faster alternatives to convex optimization for large-sized problems in compressed sensing (CS). A common large-sized problem is dynamic contrast enhanced (DCE) MRI, and the dynamic measurements possess data redundancies, which can be used to estimate non-zero signal locations. In this work, we present a novel iterative thresholding method called LCAMP (Location Constrained Approximate Message Passing) by adding the non-zero location assumption and an approximate message passing term. The method can reduce computational complexity and improve reconstruction accuracy.