A segmentation algorithm for contrast-enhanced images
- 1 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 502-509 vol.1
- https://doi.org/10.1109/iccv.2003.1238389
Abstract
Medical imaging often involves the injection of contrast agents and the subsequent analysis of tissue enhancement patterns. Many important types of tissue have characteristic enhancement patterns; for example, in magnetic resonance (MR) mammography, malignancies exhibit a characteristic "wash out" temporal pattern, while in MR angiography, arteries, veins and parenchyma each have their own distinctive temporal signature. In such image sequences, there are substantial changes in intensities; however, this change is due primarily to the contrast agent rather than the motion of scene elements. As a result, the task of segmenting contrast-enhanced images poses interesting new challenges for computer vision. We propose a new image segmentation algorithm for image sequences with contrast enhancement, using a model-based time series analysis of individual pixels. We use energy minimization via graph cuts to efficiently ensure spatial coherence. The energy is minimized in an expectation-maximization fashion that alternates between segmenting the image into a number of nonoverlapping regions and finding the temporal profile parameters which best describe the behavior of each region. Preliminary experiments on MR mammography and MR angiography studies show the algorithm's ability to find an accurate segmentation.Keywords
This publication has 16 references indexed in Scilit:
- Dynamic texture recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- 3D photography on your deskPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Better optical triangulation through spacetime analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Fast approximate energy minimization via graph cutsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- The recognition of human movement using temporal templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- Dynamic contrast-enhanced MRI in the differentiation of breast tumors: User-defined versus semi-automated region-of-interest analysisJournal of Magnetic Resonance Imaging, 1999
- Multiway cut for stereo and motion with slanted surfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- View-Invariant Analysis of Cyclic MotionInternational Journal of Computer Vision, 1997
- The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow FieldsComputer Vision and Image Understanding, 1996
- Motion segmentation and qualitative dynamic scene analysis from an image sequenceInternational Journal of Computer Vision, 1993