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

  • Ruhul Amin HazarikaEmail author
  • Khrawnam Kharkongor
  • Sugata Sanyal
  • Arnab Kumar Maji
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1087)


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.


Magnetic resonance image Noise Segmentation Skull stripping Region growing Histogram-based thresholding K means Region slitting and merging Fuzzy C means 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ruhul Amin Hazarika
    • 1
    Email author
  • Khrawnam Kharkongor
    • 1
  • Sugata Sanyal
    • 2
  • Arnab Kumar Maji
    • 1
  1. 1.Department of Information TechnologyNorth Eastern Hill UniversityShillongIndia
  2. 2.Department of Computer Science and EngineeringTata Institute of Fundamental ResearchMumbaiIndia

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