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A Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1087))

Abstract

Magnetic Resonance Imaging (MRI) is a popular tool for detection of diseases, as it can provide details about physiological and the chemical components of the tissues, for which the investigation needs to be carried out. The advantage of MRI over other medical imaging techniques is that sectional image of same resolution can be produced without moving the patients. However, the pixel intensity of the grey matter and non-grey matter, which are present in the brain, is almost similar. Hence it creates difficulty in identification and diagnosis of brain diseases. Therefore, identifying and removing the non-brain tissue like skull is very vital for accurate diagnosis of brain-related diseases. This removal of skeletal structure from a brain MRI is called skull stripping. In this paper, different brain MRI skull stripping techniques are discussed and performance analysis is presented with respect to their ground truth images.

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Author information

Authors and Affiliations

  1. Department of Information Technology, North Eastern Hill University, Shillong, 22, India

    Ruhul Amin Hazarika, Khrawnam Kharkongor & Arnab Kumar Maji

  2. Department of Computer Science and Engineering, Tata Institute of Fundamental Research, Mumbai, India

    Sugata Sanyal

Authors
  1. Ruhul Amin Hazarika
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  2. Khrawnam Kharkongor
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  3. Sugata Sanyal
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  4. Arnab Kumar Maji
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Corresponding author

Correspondence to Ruhul Amin Hazarika .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Ashish Khanna

  2. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Deepak Gupta

  3. Department of Computer Science and Engineering, Christ University, Bangalore, India

    Siddhartha Bhattacharyya

  4. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Jan Platos

  6. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Hazarika, R.A., Kharkongor, K., Sanyal, S., Maji, A.K. (2020). A Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_24

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