Multi-dimensional phase unwrapping: a new and efficient linear algebraic formulation using weighted least-squares
Laurent Lamalle1,2, Georgios Gousios3, and Matthieu Urvoy3
1Inserm US 17 & CNRS UMS 3552, Grenoble, France, 2Université Joseph Fourier & CHU de Grenoble, UMS IRMaGe, Grenoble, France, 3SFR RMN Biomédicale et Neurosciences, Université Joseph Fourier, Grenoble, France
Phase information of MR images can provide quantitative access to various physical properties of the examined sample, such as local $$$B_0$$$ values, magnetic susceptibility or flow. Phase is a continuous information whose estimation typically requires unwrapping. In this study, we propose a novel phase estimation algorithm which: (1) relies on a numeric scheme that is robust to phase jumps, and (2) is optimized for execution on modern parallel processors.
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