An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration

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

doi:10.1117/12.877915

11 March 2011 An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration

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

Author Affiliations +

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

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.

Citation Download Citation

Di Xiao, David Zahra, Pierrick Bourgeat, Paula Berghofer, Oscar Acosta Tamayo, Catriona Wimberley, Marie Claude Gregoire, and 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); https://doi.org/10.1117/12.877915

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available