A Parallelizable Multi-threaded and Multi-leveled Region-Growing Based Algorithm for Phase Correction in MRI

We present a parallelizable region growing algorithm for phase correction in MRI. An image is divided into sub-images in which region growing is independently initiated from seed pixels and temporarily halted at a pre-defined quality threshold. Results from different sub-images are compared and then merged to form consistent pixel islands. Finally, region growing is resumed from the pixel islands by gradually relaxing the quality threshold used for controlling the region growing process and merging the different pixel islands whenever possible. The algorithm is demonstrated for generating in vivo two-point Dixon images.

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