International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 9 | Year 2013 | Article Id. IJCTT-V4I9P157 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I9P157

Performance Evaluation of Skull Stripping Methods and Tools

Pratibha

Citation :

Pratibha, "Performance Evaluation of Skull Stripping Methods and Tools," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 9, pp. 3278-3281, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I9P157

Abstract

Skull Stripping aims to segment the brain tissue (cortex and cerebellum) from the skull and non-brain tissues in brain MR images . In this paper, a comparison evaluation of two widely used methods BET(Brain Extraction Tool) and BSE(Brain Surface Extraction) in brain image segmentation is presented. Performance analysis of segmentation methods integrated with the latest versions of FSL and BrainSuite is considered. Results obtained in this paper can be utilized to assist the users for selecting the appropriate method for brain tissue segmentation.

Keywords

Segmentation ,Brain Extraction Tool, Brain Surface Extraction,Magnetic Resonance Imaging

References

[1] http://en.wikipedia.org/wiki/Magnetic_resonance_imaging of_the_brain.
[2] G.Geethu Lakshmi and Dr.A.Suruliandi Anatomical Structure
[3] Segmentation in MRI brain images proceedings of ICETECT 2011.
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[5] Chen Yunjie, Zhang Jianwei, Wang Shunfeng A New Fast Brain Skull Stripping method Department of math, Nanjing University of Information science and technology, Nanjing, 210044, China Stephen M. Smith BET: Brain Extraction Tool FMRIB technical Report TR00SMS2b.
[6] http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/
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[8] http://brainweb.bic.mni.mcgill.ca/brainweb/
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[10] http://en.wikipedia.org/wiki/dice_index