Comparison of tissue segmentation algorithms in neuroimage analysis software tools

Author

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

Author_Institution

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

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

3924

Lastpage

3928

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.

Keywords

Algorithm design and analysis; Application software; Brain; Image segmentation; Magnetic analysis; Magnetic resonance imaging; Neuroimaging; Software algorithms; Software packages; Software tools; Algorithms; Brain; Computer Graphics; Computers; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Markov Chains; Phantoms, Imaging; Programming Languages; Reproducibility of Results; Sensitivity and Specificity; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650068

Filename

4650068