Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Kalaiselvi T (2011) Brain portion extraction and brain abnormality detection from magnetic resonance imaging of human head scans. Pallavi publications India pvt.ltd, Erode. ISBN 978-93-80406-76-3
Kapur T, Grimson WEL, Wells WM 3rd, Kikinis R (1996) Segmentation of brain tissue from magnetic resonance images. Med Image Anal 12:109–127
Smith S (2002) Fast robust automated brain extraction. Hum Brain Mapp 17:143–155
Sandor S, Leahy R (1997) Surface-based labeling of cortical anatomy using a deformable atlas. IEEE Tans on Med Imaging 16:41–54
Galdames FJ, Jaillet F, Perez CA (2012) An accurate skull stripping method based on simplex meshes and histogram analysis in magnetic resonance images. J Neurosci Methods 206:103–119
Somasundaram K, Kalaiselvi T (2011) Automatic brain extraction methods for T1 magnetic resonance images using region labeling and morphological operations. Comput Biol Med 41:716–725
Park JG, Lee C (2009) Skull stripping based on region growing for magnetic resonance brain images. NeuroImage 47:1394–1407
Somasundaram K, Kalaiselvi T (2010) Fully automatic brain extraction algorithm for axial T2-weighted magnetic resonance images. Comput Biol Med 40:811–822
Gonzalez RC, Woods RE (2009) Digital image processing, 3rd edn. Dorling Kindersley (India) Pvt. Ltd., New Delhi, ISBN 978-81-317-2695-2
Saito T, Toriwaki J-I (1994) New algorithms for euclidean distance transformation of an n-dimensional digitized picture with applications. Pattern Recognit 27:1551–1565
Shan Z, GH Y, Liu J (2002) Automated histogram-based brain segmentation in T1-weighted three-dimensional magnetic resonance head images. Neuroimage 17:1587–1598
Jaccard P (1912) The distribution of flora in the alpine zone. New Phytol 11:37–50
Dice L (1945) Measures of the amount of ecologic association between species. Ecology 26:297–302
John C, Kevin W, Emma L, Chao C, Barbara P, Declan J (2007) Statistical morphological skull stripping of adult and infant MRI data. Comput Biol Med 37:342–357
Acknowledgments
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer India
About this paper
Cite this paper
Somasundaram, K., Ezhilarasan, K. (2013). A Fully Automatic Scheme for Skull Stripping from MRI of Head Scans Using Morphological Neck Breaking Operations. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 222. Springer, India. https://doi.org/10.1007/978-81-322-1000-9_25
Download citation
DOI: https://doi.org/10.1007/978-81-322-1000-9_25
Published:
Publisher Name: Springer, India
Print ISBN: 978-81-322-0999-7
Online ISBN: 978-81-322-1000-9
eBook Packages: EngineeringEngineering (R0)