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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45695/ http://psasir.upm.edu.my/id/eprint/45695/1/Skull%20stripping%20of%20MRI%20brain%20images%20using%20mathematical%20morphology.pdf |
| _version_ | 1848850529190412288 |
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| author | Roslan, Rosniza Jamil, Nursuriati Mahmud, Rozi |
| author_facet | Roslan, Rosniza Jamil, Nursuriati Mahmud, Rozi |
| author_sort | Roslan, Rosniza |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T10:07:44Z |
| format | Conference or Workshop Item |
| id | upm-45695 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:07:44Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-456952020-08-07T02:28:21Z 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 |
| spellingShingle | Roslan, Rosniza Jamil, Nursuriati Mahmud, Rozi Skull stripping of MRI brain images using mathematical morphology |
| title | 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_short | Skull stripping of MRI brain images using mathematical morphology |
| title_sort | skull stripping of mri brain images using mathematical morphology |
| url | http://psasir.upm.edu.my/id/eprint/45695/ http://psasir.upm.edu.my/id/eprint/45695/ http://psasir.upm.edu.my/id/eprint/45695/1/Skull%20stripping%20of%20MRI%20brain%20images%20using%20mathematical%20morphology.pdf |