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To address the challenge of applying expert anatomical knowledge captured in brain atlases to unseen brain images, we propose "DISPATCH". DISPATCH is segmentation by propagating atlases with coerced harmony; a multi-level, multi-resolution label propagation approach that exploits per-level groupwise agreement.
The method relies on pairwise label propagation at a given resolution level. The resulting segmentations are combined using selective vote-rule decision fusion. The consolidated label set serves as a common target for a label-based registration using label consistency as the similarity metric. The resulting transformations are used as the starting point for iterating the registration-fusion-registration sequence at the next resolution level.
We participate in the "MICCAI 2012 Grand Challenge and Workshop on Multi-Atlas Labeling" with this novel approach.
Available in proceedings at https://masi.vuse.vanderbilt.edu/workshop2012/images/c/c8/MICCAI_2012_Workshop_v2.pdf (pages 75-78)
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