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. © 2010 Springer Science+Business Media B.V.
CITATION STYLE
Balafar, M. A., Ramli, A. R., Saripan, M. I., & Mashohor, S. (2010, March). Review of brain MRI image segmentation methods. Artificial Intelligence Review. https://doi.org/10.1007/s10462-010-9155-0
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