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A dynamic tree-based registration could handle possible large deformations among MR brain images
2016
Computerized Medical Imaging and Graphics
Multi-atlas segmentation is a powerful approach to automated anatomy delineation via fusing label information from a set of spatially normalized atlases. For simplicity, many existing methods perform pairwise image registration, leading to inaccurate segmentation especially when shape variation is large. In this paper, we propose a dynamic tree-based strategy for effective largedeformation registration and multi-atlas segmentation. To deal with local minima caused by large shape variation,
doi:10.1016/j.compmedimag.2016.04.005
pmid:27235894
pmcid:PMC4930896
fatcat:caebkddltnc3njjniw46ck2wrq