Segmentation of 3D Medical Structures Using Robust Ray Propagation
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Comprehensive Cardiovascular Image Analysis Using MR and CT at Siemens Corporate Research
International Journal of Computer Vision
WSEAS Transactions on Signal Processing
Computers in Biology and Medicine
Objective PET lesion segmentation using a spherical mean shift algorithm
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Multi-scale vessel boundary detection
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
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A robust and efficient method for the segmentation of vessel cross-sections in contrast enhanced CT and MR images is presented. The primary innovation of the technique isthe boundary propagation by mean shift analysis combined with a smoothness constraint. Consequently, the robustness of the mean shift to noise is enhanced by the use of aprioriinformationon boundary smoothness. This processing is integrated into our computationally efficient framework based on ray propagation. The new algorithm allows real time segmentation of medical structures found in multi-modality images (CT, MR) and various examples are shown to illustrate its effectiveness.