Title :
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
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;
Conference_Titel :
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
Conference_Location :
Isfahan
Print_ISBN :
978-1-4244-7483-7
DOI :
10.1109/ICBME.2010.5704955
