This work investigates the general problem of phase unwrapping for arbitrary N-dimensional phase maps. A cost function-based approach is outlined that leads to an integer programming problem. To solve this problem, a best-pair-first region merging approach is adopted as the optimization method. The algorithm was implemented and tested with 3D MRI medical data for venogram studies, as well as for fMRI applications in EPI unwarping and rapid, automated shimming. Magn Reson Med 49:193-197, 2003.
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机译：这项工作研究了任意N维相位图的相位展开的一般问题。概述了基于成本函数的方法，该方法会导致整数编程问题。为了解决这个问题，采用最佳对优先区域合并方法作为优化方法。该算法已实现并通过3D MRI医学数据进行了静脉造影研究以及fMRI在EPI翘曲和快速自动匀场中的应用进行了测试。 Magn Reson Med 49：193-197，2003年。
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