Large-scale validation of non-rigid registration algorithms for atlas-based brain image segmentation

Qian Wang; Emiliano D'Agostino; Dieter Seghers; Frederik Maes; Dirk Vandermeulen; Paul Suetens

doi:10.1117/12.653176

10 March 2006 Large-scale validation of non-rigid registration algorithms for atlas-based brain image segmentation

Qian Wang, Emiliano D'Agostino, Dieter Seghers, Frederik Maes, Dirk Vandermeulen, Paul Suetens

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61440S (2006) https://doi.org/10.1117/12.653176
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

In this paper, we evaluate different non-rigid image registration methodologies in the context of atlas-based brain image segmentation. Three non-rigid voxel-based registration regularization schemes (viscous fluid, elastic and curvature-based registration) combined with the mutual information similarity measure are compared. We conduct large-scale atlas-based segmentation experiments on a set of 20 anatomically labelled MR brain images in order to find the optimal parameter settings for each scheme. The performance of the optimal registration schemes is evaluated in their capability of accurately segmenting 49 different brain sub-structures of varying size and shape.

Citation Download Citation

Qian Wang, Emiliano D'Agostino, Dieter Seghers, Frederik Maes, Dirk Vandermeulen, and Paul Suetens "Large-scale validation of non-rigid registration algorithms for atlas-based brain image segmentation", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61440S (10 March 2006); https://doi.org/10.1117/12.653176

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