A Fully Automatic Scheme for Skull Stripping from MRI of Head Scans Using Morphological Neck Breaking Operations

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 222)


In this paper we propose a fully automatic method for extracting brain portion from T1 weighted MRI of human head scan. The proposed scheme comprise of simple image manipulation methods, intensity thresholding, image binarization, largest connected component analysis, 2D Euclidean distance and morphological operations. Application of our scheme on 20 volumes of MRI data sets shows that the proposed scheme performs better than the existing popular method Brain Extraction Tool (BET) and Brain Surface Extractor (BSE). The proposed scheme gives an average value of 0.944 and 0.970 for the similarity indices Jaccard and Dice.


Magnetic resonance image Morphological operations 2D Euclidean distance Skull stripping 



This work is funded by the University Grants Commission, New Delhi, through the Grant No: F No 37/154/2009(SR). The authors would like to thank the Internet Brain Segmentation Repository (IBSR) for providing 20 volumes of MRI brain images.


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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Image Processing Lab, Department of Computer Science and ApplicationsGandhigram Rural Institute (Deemed University)DindigulIndia

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