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

Xiao, Di, Bourgeat, Pierrick, Tamayo, Oscar Acosta, Salvado, Oliver, Zahra, David, Berghofer, Paula, Wimberley, Catriona and Gregoire, Marie-Claude (2010). An improved 3D shape context registration method for non-rigid surface registration. In: Benoit M. Dawant and David R. Haynor, Progress in Biomedical Optics and Imaging: Proceedings of SPIE, Volume 7623. Conference on Medical Imaging 2010 - Image Processing, San Diego, CA, United States, (76232Q-1-76232Q-9). 14-16 February 2010. doi:10.1117/12.844058

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Author Xiao, Di
Bourgeat, Pierrick
Tamayo, Oscar Acosta
Salvado, Oliver
Zahra, David
Berghofer, Paula
Wimberley, Catriona
Gregoire, Marie-Claude
Title of paper An improved 3D shape context registration method for non-rigid surface registration
Conference name Conference on Medical Imaging 2010 - Image Processing
Conference location San Diego, CA, United States
Conference dates 14-16 February 2010
Proceedings title Progress in Biomedical Optics and Imaging: Proceedings of SPIE, Volume 7623   Check publisher's open access policy
Journal name Medical Imaging 2010: Image Processing   Check publisher's open access policy
Place of Publication Bellingham, WA, United States
Publisher SPIE
Publication Year 2010
Sub-type Poster
DOI 10.1117/12.844058
Open Access Status File (Publisher version)
ISBN 978-0-8194-8024-8
ISSN 0277-786X
1996-756X
Editor Benoit M. Dawant
David R. Haynor
Volume 7623
Issue Part 1
Start page 76232Q-1
End page 76232Q-9
Total pages 9
Language eng
Abstract/Summary 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.
Keyword 3D Shape context
non-rigid registration
small animal skeleton registration
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Poster session: "Registration" Article number: 76232Q. Progress in Biomedical Optics and Imaging (1605-7422) Vol. 11, No. 33

 
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