Comparison evaluation of three brain MRI segmentation methods in software tools

Author

Kasiri, Keyvan ; Dehghani, Mohammad Javad ; Kazemi, Kamran ; Helfroush, Mohammad Sadegh ; Kafshgari, Shaghayegh

Author_Institution

Dept. of Electr. & Electron. Eng., Shiraz Univ. of Technol., Shiraz, Iran

fYear

2010

fDate

3-4 Nov. 2010

Firstpage

1

Lastpage

4

Abstract

Accuracy of automated segmentation methods is of great importance in brain image analysis. In this paper, a comparison evaluation of three common software packages in brain image segmentation is presented. Performance analysis of segmentation methods integrated with the latest versions of SPM, FSL and BrainSuite is considered. In this comparison study, quantitative and qualitative assessment of segmentation algorithms is performed for both simulated and real data. Results obtained in this paper can be utilized to assist the users for selecting the appropriate software for the application of brain tissue segmentation.

Keywords

biomedical MRI; brain; image segmentation; medical image processing; BrainSuite tool; FSL tool; SPM tool; automated segmentation accuracy; brain MRI segmentation; brain image analysis; software tool; Brain models; Data models; Image segmentation; Magnetic resonance imaging; Skull; accuracy; brain; evaluation; magnetic resonance imaging (MRI); segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICBME), 2010 17th Iranian Conference of

Conference_Location

Isfahan

Print_ISBN

978-1-4244-7483-7

Type

conf

DOI

10.1109/ICBME.2010.5704955

Filename

5704955