A Novel Accelerated 3D Phase-Unwrapping Method Based on Subdivided Arrays and Polynomial Modeling with Application: Dixon Water-Fat Separation

In this work, a novel robust and accelerated phase-unwrapping method is presented. The proposed method firstly introduces an artificial volume compartmentalization to break down the large-scale unwrapping problems, and then uses the phase partition method to cluster the phase into blocks to be paralleled unwrapped first, and residual-voxel to be unwrapped later. The simulated and in vivo datasets experiments have demonstrated that the proposed method allows for a reduction of the unwrapping problem size, a speed-up for handling large datasets, and obtains the accurate phase results under different SNRs and phase-change levels.