Quantitative analysis of brain tissues from magnetic resonance images

Smitha Sunil Kumaran Nair, K. Revathy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


This paper deals with an automatic and relatively efficient method for estimating intracranial volume from MR brain images. The proposed method consists of mainly three steps, namely skull removal, image segmentation and volume calculation. The present method uses morphological operations followed by 3D connected component labeling and image subtraction for extracting the brain mask from the original brain slices. The skull stripped images are then segmented into the three tissues namely Gray Matter, White Matter and Cerebrospinal fluid using an efficient clustering technique namely, Weighted k-means clustering algorithm followed by Expectation Maximization algorithm. Finally the volume of the segmented tissues is calculated using Cavalier's estimator of morphometric volume method and some sample results are presented. The proposed method gives reliable results for making quantitative analysis and diagnosis of tissues from Magnetic Resonance brain image slices.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Digital Image Processing, ICDIP 2009
Number of pages5
Publication statusPublished - 18-11-2009
Externally publishedYes
Event2009 International Conference on Digital Image Processing - Bangkok, Thailand
Duration: 07-03-200909-03-2009


Conference2009 International Conference on Digital Image Processing

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition


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