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This paper builds on the tradition of developing computationally efficient nonrigid registration techniques that are easy to implement. All of the standard approaches for variational registration must either implicitly or explicitly assume boundary conditions for the deformation field being sought. Unfortunately, the most commonly used boundary conditions (homogeneous Dirichlet, homogeneous Neumann,...
We present a feature point detection algorithm which we use for non-rigid registration, illustrated for breast images (mammography, MRI). By associating the continuous intrinsic dimensionality of image structure with the output of a scale saliency algorithm, breast boundary points can be separated from internal feature points. Correspondences established for the breast boundary and internal feature...
Patient-specific models of the biomechanics of the breast based on finite deformation theory is potentially a valuable tool to assist clinicians in assimilating and assessing information obtained from different views of the breast, under different loading conditions and using different imaging modalities. It is anticipated that a computational model of the large deformation mechanics of the breast...
Patient-specific models of the biomechanics of the breast based on finite deformation theory is potentially a valuable tool to assist clinicians in assimilating and assessing information obtained from different views of the breast, under different loading conditions and using different imaging modalities. It is anticipated that a computational model of the large deformation mechanics of the breast...
Many different techniques have been proposed to compute motion fields on Tagged MR imaging. However, most of them require tags segmentation or endo- epicardial contours segmentation. Automatic estimation of the myocardial motion field was extracted using a consecutive non-rigid registration algorithm based on a semilocal Bspline parametric model. The sequence was also represented in the Bspline space...
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