Deformations incorporating rigid structures
Computer Vision and Image Understanding
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Understanding and Using Linear Programming (Universitext)
Understanding and Using Linear Programming (Universitext)
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Simultaneous segmentation and registration of contrast-enhanced breast MRI
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Fast parametric elastic image registration
IEEE Transactions on Image Processing
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Accurate registration of the dynamic contrast-enhanced (DCE) MR breast images is a well-known difficult problem. It is because the breast motion is non-rigid and the intensity variations of tumor between pre-contrast and post-contrast images can cause the unexpected tumor shrinking/expanding effect in the registration process. To obtain accurate registration, we propose two techniques: a novel image similarity measure based on the robust estimation and a new global optimization technique by reformulating the registration problem as solving a linear programming. The novel similarity measure can help to handle the shrinking/expanding problem while the global optimization technique offers more accurate estimation of the breast motion.