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

Abstract

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

Topics

15 Figures and Tables

Statistics

050'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

498 Citations

Semantic Scholar estimates that this publication has 498 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics