Comparison of tissue segmentation algorithms in neuroimage analysis software tools

On Tsang; Ali Gholipour; Nasser Kehtarnavaz; Kaundinya Gopinath; Richard Briggs; Issa Panahi

doi:10.1109/IEMBS.2008.4650068

Comparison of tissue segmentation algorithms in neuroimage analysis software tools

Annu Int Conf IEEE Eng Med Biol Soc. 2008:2008:3924-8. doi: 10.1109/IEMBS.2008.4650068.

Authors

On Tsang¹, Ali Gholipour, Nasser Kehtarnavaz, Kaundinya Gopinath, Richard Briggs, Issa Panahi

Affiliation

¹ Electrical Engineering Department, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, USA.

PMID: 19163571
DOI: 10.1109/IEMBS.2008.4650068

Abstract

Accurate segmentation of different brain tissues is of much importance in magnetic resonance imaging. This paper presents a comparison of the existing segmentation algorithms that are deployed in the neuroimaging community as part of two widely used software packages. The results obtained in this comparison can be used to select the appropriate segmentation algorithm for the neuroimaging application of interest. In addition to the entire brain area, a comparison is carried out for the subcortical region of the brain in terms of its gray matter composition.

Publication types

Comparative Study
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Brain / anatomy & histology*
Brain / pathology
Brain / physiology
Computer Graphics
Computers
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Markov Chains
Phantoms, Imaging
Programming Languages
Reproducibility of Results
Sensitivity and Specificity
Software