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
格式: Article
語言:English
出版: Springer 2010
在線閱讀:http://psasir.upm.edu.my/id/eprint/11346/1/Review%20of%20brain%20MRI%20image%20segmentation%20methods.pdf
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總結: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.