Phase-Constrained Reconstruction of Sensitivity-Encoded MRI Data with POCSENSE

A. Samsonov, E. Kholmovski, C. Johnson Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, United States, UCAIR, Department of Radiology, University of Utah, Salt Lake City, Utah, United States Introduction: Using phase constraints in sensitivity-encoded data reconstruction promises a number of benefits, including improved image quality, signal-to-noise ratio (SNR) increase and increased speedup factors [1, 2]. Matrix formulation of the phase-constrained reconstruction often requires explicit construction of large matrices, which is a computationally and memory demanding procedure. We outline a method for phase-constrained reconstruction of sensitivity-encoded data based on POCSENSE approach [3, 4]. Our method avoids construction of large matrices, is applicable to arbitrary k-space trajectories, algorithmically simple and computationally inexpensive.