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Proceedings Paper

An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration
Author(s): Di Xiao; David Zahra; Pierrick Bourgeat; Paula Berghofer; Oscar Acosta Tamayo; Catriona Wimberley; Marie Claude Gregoire; Olivier Salvado
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Paper Abstract

Small animal image registration is challenging because of its joint structure, and posture and position difference in each acquisition without a standard scan protocol. In this paper, we face the issue of mouse whole-body skeleton registration from CT images. A novel method is developed for analyzing mouse hind-limb and fore-limb postures based on geodesic path descriptor and then registering the major skeletons and fore limb skeletons initially by thin-plate spline (TPS) transform based on the obtained geodesic paths and their enhanced correspondence fields. A target landmark correction method is proposed for improving the registration accuracy of the improved 3D shape context non-rigid registration method we previously proposed. A novel non-rigid registration framework, combining the skeleton posture analysis, geodesic path based initial alignment and 3D shape context model, is proposed for mouse whole-body skeleton registration. The performance of the proposed methods and framework was tested on 12 pairs of mouse whole-body skeletons. The experimental results demonstrated the flexibility, stability and accuracy of the proposed framework for automatic mouse whole body skeleton registration.

Paper Details

Date Published: 11 March 2011
PDF: 10 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620V (11 March 2011); doi: 10.1117/12.877915
Show Author Affiliations
Di Xiao, Commonwealth Scientific and Industrial Research Organisation (Australia)
David Zahra, Australian Nuclear Science and Technology Organisation (Australia)
Pierrick Bourgeat, Commonwealth Scientific and Industrial Research Organisation (Australia)
Paula Berghofer, Australian Nuclear Science and Technology Organisation (Australia)
Oscar Acosta Tamayo, Univ. de Rennes 1 (France)
Catriona Wimberley, Australian Nuclear Science and Technology Organisation (Australia)
Marie Claude Gregoire, Australian Nuclear Science and Technology Organisation (Australia)
Olivier Salvado, Commonwealth Scientific and Industrial Research Organisation (Australia)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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