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Review of brain MRI image segmentation methods


Balafar, Mohd Ali and Ramli, A. R. 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

Abstract / Synopsis

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.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: 10.1007/s10462-010-9155-0
Publisher: Springer Verlag
Keywords: Brain, MRI, Segmentation
Depositing User: Anas Yahaya
Date Deposited: 30 Mar 2011 15:36
Last Modified: 01 Sep 2015 14:57
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