Abstract #0252

Multi-dimensional phase unwrapping: a new and efficient linear algebraic formulation using weighted least-squares

Laurent Lamalle^1,2, 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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