Browsing by Author "Tamayo, AO"

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    An improved 3D shape context registration method for non-rigid surface registration.
    (Society of Photo-optical Instrumentation Engineers (SPIE), 2010-02-14) Xiao, D; Zahra, D; Bourgeat, P; Berghofer, PJ; Tamayo, AO; Wimberley, CA; Grégoire, MC; Salvado, O
    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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    Non-rigid registration method for mouse whole body skeleton registration.
    (Society of Photo-optical Instrumentation Engineers (SPIE), 2010-02-14) Xiao, D; Zahra, D; Bourgeat, P; Berghofer, PJ; Tamayo, AO; Wimberley, CA; Grégoire, MC; Salvado, O
    Micro-CT/PET imaging scanner provides a powerful tool to study tumor in small rodents in response to therapy. Accurate image registration is a necessary step to quantify the characteristics of images acquired in longitudinal studies. Small animal registration is challenging because of the very deformable body of the animal often resulting in different postures despite physical restraints. In this paper, we propose a non-rigid registration approach for the automatic registration of mouse whole body skeletons, which is based on our improved 3D shape context non-rigid registration method. The whole body skeleton registration approach has been tested on 21 pairs of mouse CT images with variations of individuals and time-instances. The experimental results demonstrated the stability and accuracy of the proposed method for automatic mouse whole body skeleton registration. © 2012, SPIE.