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Phase-Sensitive Inversion Recovery Imaging using a Markov Random Field Model

J. X. Ji, L. Ying, J. Ma, D. C. Munson, Jr, Z. P. Liang University of Illinois at Urbana-Champaign, Urbana, IL, United States, University of Texas MD Anderson Cancer Center, Houston, TX, United States SYNOPSIS This paper addresses the image reconstruction problem for phase sensitive inversion recovery (PSIR) imaging. A new algorithm is proposed, which is based on a Markov Random Field (MRF) model of the phase variations. An important advantage of the proposed method over other existing methods is that it does not require phase unwrapping or image filtering. The method is found to be robust and efficient for in-vivo brain imaging.