11 March 2011 An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration
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Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79620V (2011) https://doi.org/10.1117/12.877915
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Di Xiao, Di Xiao, David Zahra, David Zahra, Pierrick Bourgeat, Pierrick Bourgeat, Paula Berghofer, Paula Berghofer, Oscar Acosta Tamayo, Oscar Acosta Tamayo, Catriona Wimberley, Catriona Wimberley, Marie Claude Gregoire, Marie Claude Gregoire, Olivier Salvado, Olivier Salvado, } "An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620V (11 March 2011); doi: 10.1117/12.877915; https://doi.org/10.1117/12.877915

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