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 a database of 15 CT-scans, providing both geometrically and topologically satisfactory results. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Faisan, S., Passat, N., Noblet, V., Chabrier, R., & Meyer, C. (2008). Topology preserving warping of binary images: Application to atlas-based skull segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 211–218). https://doi.org/10.1007/978-3-540-85988-8_26
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