An Automated Skull-Stripping Method by Windowing the Histogram
Keywords:
MRI, Skull-Stripping, ROI, T1-Weighted, WindowingAbstract
An automated method for segmentation of Magnetic Resonance (MR) head images into brain and non-brain has been proposed. It combines the strategy used in intensity and morphological skull-stripping methods. The method is very fast and requires no preprocessing of MR images. It is testified on T1-Weighted MR image modality and produces accurate output.
References
S.M. Smith, “Fast robust automated brain extraction, Hum. Brain. Mapp.” Vol.17, pp. 143–155, 2002.
D. Shattuck, S. Sandor-Leahy, K. Schaper, D. Rottenberg, and R. Leahy, “Magnetic resonance image tissue classification using a partial volume model,”NeuroImage, vol.13(5), pp. 856–876, 2001
A. Mikheev, G. Nevsky, S. Govindan, R. Grossman, and H. Rusinek, “Fully automatic segmentation of the brain from T1-weighted MRI using Bridge Burner algorithm,”Journal of Magnetic Resonance Imaging, vol.27(6), pp. 1235–1241, 2008.
Rusinek, “Fully automatic segmentation of the brain from T1-weighted MRI using Bridge Burner algorithm,”Journal of Magnetic Resonance Imaging, vol. 27(6), pp. 1235–1241, 2008.
S. Sadananthan, W. Zheng, M. Chee, and V. Zagorodnov, “Skull stripping using graph cuts,”NeuroImage, vol. 49(1), pp. 225–239, 2010.
P. Kalavathi , V.B.Surya Prasath,”Methods on Skull Stripping of MRI Head Scan Images—aReview”, J Digit Imaging Vol.29, pp.365 –379, 2016.
M.E. Brummer, R.M. Mersereau, R.L. Eisner, R.R.J. Lewine, V. Caeslles, R. Kimmel , G. Sapiro : “Automatic detection of brain contours in MRI datasets.” IEEE Trans Image Process vol.12(2), pp.153–166, 1993.
B.D. Ward “Automatic segmentation of intracranial region. Technical Report”, 1999.
R.W. Cox,” AFNI: software for analysis and visualization of func-tional magnetic resonance Neuroimages.” Comput Biomed Res Vol.29(3), pp.162 –173, 1996.
N. Otsu, “A Threshold Selection Method from Gray-Level Histogram”, IEEE Transaction on System,Man and Cybernetics, Vol. SMC-9(1), pp.62-66, 1979.
M. Sonka, V. Hlavac and R. Boyle, “Image Processing, Analysis and Machine Vision”, Thomson Learning Inc., SecondEdition,2007.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
