Review of brain MRI image segmentation methods
Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate segmentation of brain images is a very difficult task. However, the process of accurate segmentation of these images...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/11346/1/Review%20of%20brain%20MRI%20image%20segmentation%20methods.pdf |
| _version_ | 1825944899765141504 |
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| author | Balafar, Mohammad Ali Ramli, Abdul Rahman Saripan, M. Iqbal Mashohor, Syamsiah |
| author_facet | Balafar, Mohammad Ali Ramli, Abdul Rahman Saripan, M. Iqbal Mashohor, Syamsiah |
| author_sort | Balafar, Mohammad Ali |
| collection | UPM |
| description | Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate segmentation of brain images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. We presented a review of the methods used in brain segmentation. The review covers imaging modalities, magnetic resonance imaging and methods for noise reduction, inhomogeneity correction and segmentation. We conclude with a discussion on the trend of future research in brain segmentation. |
| first_indexed | 2024-03-06T07:23:08Z |
| format | Article |
| id | upm.eprints-11346 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:23:08Z |
| publishDate | 2010 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-113462019-04-10T06:34:12Z http://psasir.upm.edu.my/id/eprint/11346/ Review of brain MRI image segmentation methods Balafar, Mohammad Ali Ramli, Abdul Rahman Saripan, M. Iqbal Mashohor, Syamsiah Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore, accurate segmentation of brain images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. We presented a review of the methods used in brain segmentation. The review covers imaging modalities, magnetic resonance imaging and methods for noise reduction, inhomogeneity correction and segmentation. We conclude with a discussion on the trend of future research in brain segmentation. Springer 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/11346/1/Review%20of%20brain%20MRI%20image%20segmentation%20methods.pdf Balafar, Mohammad Ali and Ramli, Abdul Rahman and Saripan, M. Iqbal and Mashohor, Syamsiah (2010) Review of brain MRI image segmentation methods. Artificial Intelligence Review, 33 (3). pp. 261-274. ISSN 0269-2821; ESSN: 1573-7462 https://link.springer.com/article/10.1007%2Fs10462-010-9155-0 10.1007/s10462-010-9155-0 |
| spellingShingle | Balafar, Mohammad Ali Ramli, Abdul Rahman Saripan, M. Iqbal Mashohor, Syamsiah Review of brain MRI image segmentation methods |
| title | Review of brain MRI image segmentation methods |
| title_full | Review of brain MRI image segmentation methods |
| title_fullStr | Review of brain MRI image segmentation methods |
| title_full_unstemmed | Review of brain MRI image segmentation methods |
| title_short | Review of brain MRI image segmentation methods |
| title_sort | review of brain mri image segmentation methods |
| url | http://psasir.upm.edu.my/id/eprint/11346/1/Review%20of%20brain%20MRI%20image%20segmentation%20methods.pdf |
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