Journal of Digital Imaging

, Volume 26, Issue 6, pp 1116–1123 | Cite as

An Effective Method for Segmentation of MR Brain Images Using the Ant Colony Optimization Algorithm

  • Mohammad Taherdangkoo
  • Mohammad Hadi BagheriEmail author
  • Mehran Yazdi
  • Katherine P. Andriole


Since segmentation of magnetic resonance images is one of the most important initial steps in brain magnetic resonance image processing, success in this part has a great influence on the quality of outcomes of subsequent steps. In the past few decades, numerous methods have been introduced for classification of such images, but typically they perform well only on a specific subset of images, do not generalize well to other image sets, and have poor computational performance. In this study, we provided a method for segmentation of magnetic resonance images of the brain that despite its simplicity has a high accuracy. We compare the performance of our proposed algorithm with similar evolutionary algorithms on a pixel-by-pixel basis. Our algorithm is tested across varying sets of magnetic resonance images and demonstrates high speed and accuracy. It should be noted that in initial steps, the algorithm is computationally intensive requiring a large number of calculations; however, in subsequent steps of the search process, the number is reduced with the segmentation focused only in the target area.


Image processing Segmentation Optimization algorithm Ant colony optimization 


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Copyright information

© Society for Imaging Informatics in Medicine 2013

Authors and Affiliations

  • Mohammad Taherdangkoo
    • 1
  • Mohammad Hadi Bagheri
    • 4
    • 5
    Email author
  • Mehran Yazdi
    • 3
  • Katherine P. Andriole
    • 2
  1. 1.Taba Medical Imaging CenterShirazIran
  2. 2.Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women’s HospitalHarvard Medical SchoolBrooklineUSA
  3. 3.Department of Communications and Electronics, Faculty of Electrical and Computer EngineeringShiraz UniversityShirazIran
  4. 4.Medical Imaging Research CenterShiraz University of Medical SciencesShirazIran
  5. 5.Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women’s HospitalHarvard Medical SchoolBrooklineUSA

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