Constrained Gaussian mixture model framework for automatic segmentation of MR brain images


An automated algorithm for tissue segmentation of noisy, low-contrast magnetic resonance (MR) images of the brain is presented. A mixture model composed of a large number of Gaussians is used to represent the brain image. Each tissue is represented by a large number of Gaussian components to capture the complex tissue spatial layout. The intensity of a… (More)
DOI: 10.1109/TMI.2006.880668


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