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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...

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Main Authors: Balafar, Mohammad Ali, Ramli, Abdul Rahman, Saripan, M. Iqbal, Mashohor, Syamsiah
Format: Article
Language:English
Published: Springer 2010
Online Access:http://psasir.upm.edu.my/id/eprint/11346/1/Review%20of%20brain%20MRI%20image%20segmentation%20methods.pdf
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spelling oai:psasir.upm.edu.my:11346 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
institution UPM IR
collection UPM IR
language English
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.
format Article
author Balafar, Mohammad Ali
Ramli, Abdul Rahman
Saripan, M. Iqbal
Mashohor, Syamsiah
spellingShingle Balafar, Mohammad Ali
Ramli, Abdul Rahman
Saripan, M. Iqbal
Mashohor, Syamsiah
Review of brain MRI image segmentation methods
author_facet Balafar, Mohammad Ali
Ramli, Abdul Rahman
Saripan, M. Iqbal
Mashohor, Syamsiah
author_sort Balafar, Mohammad Ali
title Review of brain MRI image segmentation methods
title_short 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_sort review of brain mri image segmentation methods
publisher Springer
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/11346/1/Review%20of%20brain%20MRI%20image%20segmentation%20methods.pdf
_version_ 1782718284273025024
score 12.933938

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