Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Level set methods: an overview and some recent results
Journal of Computational Physics
Motion estimation based tracking of active contours
Pattern Recognition Letters
Interactive Organ Segmentation Using Graph Cuts
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
International Journal of Computer Vision
Local Histogram Based Segmentation Using the Wasserstein Distance
International Journal of Computer Vision
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
IEEE Transactions on Image Processing
Segmentation for robust tracking in the presence of severe occlusion
IEEE Transactions on Image Processing
Level set analysis for leukocyte detection and tracking
IEEE Transactions on Image Processing
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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From surgery to radiotherapy treatment planning, tracking organs or tissues is a fundamental task. The techniques used to achieve this tracking can be classified as: extrinsic and intrinsic. Intrinsic techniques only use image processing methods applied to medical images or sequences, as dealt with in this paper. To accurately perform this organ tracking it is necessary to find tracking models that can be applied to various image modalities involved in medical procedures (CT, MRI, etc.). Moreover these models must handle several image dimensions (2D, 3D, and 4D) that are common in many medical tasks. Among the several alternatives for tracking the organs of interest, a model based on a geodesic one combined with regional features is proposed. This model has been tested on CT images from the pelvic, cardiac and thoracic area. A novel model for the segmentation of organs composed of more than one region is proposed.