Skull stripping of MRI brain images using mathematical morphology

Citation

Roslan, Rosniza and Jamil, Nursuriati and Mahmud, Rozi (2010) Skull stripping of MRI brain images using mathematical morphology. In: 2010 IEEE EMBS Conference on Biomedical Engineering & Sciences (IECBES 2010), 30 Nov.-2 Dec. 2010, Kuala Lumpur, Malaysia. (pp. 26-31).

Abstract

Skull stripping is a major phase in MRI brain imaging applications and it refers to the removal of its non-cerebral tissues. The main problem in skull-stripping is the segmentation of the non-cerebral and the intracranial tissues due to their homogeneity intensities. As morphology requires prior binarization of the image, this paper proposed mathematical morphology segmentation using double and Otsu’s thresholding. The purpose is to identify robust threshold values to remove the non-cerebral tissue from MRI brain images. Ninety collected samples of T1-weighted, T2-weighted and FLAIR MRI brain images are used in the experiments. The results showed promising use of double threholding as a robust threshold value in handling intensity inhomogeneities compared to Otsu’s thresholding.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Medicine and Health Science
DOI Number:	https://doi.org/10.1109/IECBES.2010.5742193
Publisher:	IEEE
Keywords:	Skull stripping; Mathematical morphology; MRI; Thresholding
Depositing User:	Nabilah Mustapa
Date Deposited:	07 Aug 2020 02:28
Last Modified:	07 Aug 2020 02:28
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/IECBES.2010.5742193
URI:	http://psasir.upm.edu.my/id/eprint/45695
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