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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

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Abstract

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.

Item Type:Article
Keyword:Brain, MRI, Segmentation
Faculty or Institute:Faculty of Engineering
Publisher:Springer Verlag
DOI Number:10.1007/s10462-010-9155-0
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10462-010-9155-0
ID Code:11346
Deposited By: Anas Yahaya
Deposited On:30 Mar 2011 15:36
Last Modified:30 Mar 2011 15:39

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