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Artificial Intelligence Review

, Volume 33, Issue 3, pp 261–274 | Cite as

Review of brain MRI image segmentation methods

  • M. A. Balafar
  • A. R. Ramli
  • M. I. Saripan
  • S. Mashohor
Article

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.

Keywords

Brain MRI Segmentation 

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • M. A. Balafar
    • 1
  • A. R. Ramli
    • 1
  • M. I. Saripan
    • 1
  • S. Mashohor
    • 1
  1. 1.Department of Computer & Communication Systems, Faculty of EngineeringUniversity Putra MalaysiaSerdangMalaysia

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