An improved 3D shape context registration method for non-rigid surface registration.
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Date
2010-02-14
Journal Title
Journal ISSN
Volume Title
Publisher
Society of Photo-optical Instrumentation Engineers (SPIE)
Abstract
3D shape context is a method to define matching points between similar shapes as a pre-processing step to non-rigid registration. The main limitation of the approach is point mismatching, which includes long geodesic distance mismatch and neighbors crossing mismatch. In this paper, we propose a topological structure verification method to correct the long geodesic distance mismatch and a correspondence field smoothing method to correct the neighbors crossing mismatch. A robust 3D shape context model is proposed and further combined with thin-plate spline model for non-rigid surface registration. The method was tested on phantoms and rat hind limb skeletons from micro CT images. The results from experiments on mouse hind limb skeletons indicate that the approach is robust.
Description
Keywords
Image processing, Geodesy, Computerized tomography, Rodents, Three-dimensional calculations, Comparative evaluations
Citation
Xiao, D., Zahra, D., Bourgeat, P., Berghofer, P., Tamayo, A. O., Wimberley, C.,Grégoire , M. C., & Salvado, O. (2010). An improved 3D shape context registration method for non-rigid surface registration. Paper presented to the Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 14th February 2010. Town and Country Resort and Convention Center: San Diego, California. In Proceedings of SPIE, 7623, 76232Q. doi:10.1117/12.844058