An improved 3D shape context registration method for non-rigid surface registration

Di Xiao; David Zahra; Pierrick Bourgeat; Paula Berghofer; Oscar Acosta Tamayo; Catriona Wimberley; Marie-Claude Gregoire; Olivier Salvado

doi:10.1117/12.844058

12 March 2010 An improved 3D shape context registration method for non-rigid surface registration

Di Xiao, David Zahra, Pierrick Bourgeat, Paula Berghofer, Oscar Acosta Tamayo, Catriona Wimberley, Marie-Claude Gregoire, Olivier Salvado

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Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76232Q (2010) https://doi.org/10.1117/12.844058
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

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Di Xiao, David Zahra, Pierrick Bourgeat, Paula Berghofer, Oscar Acosta Tamayo, Catriona Wimberley, Marie-Claude Gregoire, and Olivier Salvado "An improved 3D shape context registration method for non-rigid surface registration", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76232Q (12 March 2010); https://doi.org/10.1117/12.844058

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KEYWORDS

Image registration

3D modeling

3D image processing

Error analysis

Computed tomography

3D acquisition

Image processing

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