2008 ·

Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation

Faisan, Sylvain, Passat, Nicolas, Noblet, Vincent, Chabrier, Renee, Meyer, Christophe

Journal
Année
2008
Volume
5241
Pages
211+

Abstract

Lots of works have been recently carried out, in the field of non-rigid registration to ensure the estimation of one-to-one, mappings. However, warping a binary image with such transformations may alter its discrete topological properties if common resampling strategies are considered. This paper proposes an original method for warping a binary image according to some continuous and bijective, mapping, while preserving its discrete topological properties. Results obtained in the context of atlas-based segmentation highlight the interest of the approach. Indeed, the method has been successfully applied to the segmentation of skull structures from it database of 15 CT-scans, providing both geometrically and topologically satisfactory results.