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Skull stripping of MRI brain images using mathematical morphology

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 bin...

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Main Authors: Roslan, Rosniza, Jamil, Nursuriati, Mahmud, Rozi
Format: Conference or Workshop Item
Language:English
Published: IEEE 2010
Online Access:http://psasir.upm.edu.my/id/eprint/45695/1/Skull%20stripping%20of%20MRI%20brain%20images%20using%20mathematical%20morphology.pdf
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spelling oai:psasir.upm.edu.my:45695 http://psasir.upm.edu.my/id/eprint/45695/ Skull stripping of MRI brain images using mathematical morphology Roslan, Rosniza Jamil, Nursuriati Mahmud, Rozi 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. IEEE 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45695/1/Skull%20stripping%20of%20MRI%20brain%20images%20using%20mathematical%20morphology.pdf 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). 10.1109/IECBES.2010.5742193
institution UPM IR
collection UPM IR
language English
description 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.
format Conference or Workshop Item
author Roslan, Rosniza
Jamil, Nursuriati
Mahmud, Rozi
spellingShingle Roslan, Rosniza
Jamil, Nursuriati
Mahmud, Rozi
Skull stripping of MRI brain images using mathematical morphology
author_facet Roslan, Rosniza
Jamil, Nursuriati
Mahmud, Rozi
author_sort Roslan, Rosniza
title Skull stripping of MRI brain images using mathematical morphology
title_short Skull stripping of MRI brain images using mathematical morphology
title_full Skull stripping of MRI brain images using mathematical morphology
title_fullStr Skull stripping of MRI brain images using mathematical morphology
title_full_unstemmed Skull stripping of MRI brain images using mathematical morphology
title_sort skull stripping of mri brain images using mathematical morphology
publisher IEEE
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/45695/1/Skull%20stripping%20of%20MRI%20brain%20images%20using%20mathematical%20morphology.pdf
_version_ 1698902265387024384
score 12.907076

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