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An Overview of Segmentation Models for the Extraction of Brain Tissues from Magnetic Resonance Images

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Computational Intelligence in Pattern Recognition (CIPR 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 725))

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Abstract

Image segmentation plays an inevitable role in biomedical image processing for the delineation of anatomical organs and affected tissues. The main focus of this research work is the analysis of algorithms to segment the tissues in MR brain images, which aids in the diagnosis of neuro disorders. The widely used segmentation algorithms for the extraction of brain tissues are thresholding, clustering, atlas-guided and deep learning models. A qualitative study of widely used segmentation approaches for the MR brain images is discussed in this chapter. In the current scenario, hybrid segmentation approach gains prominence in the extraction of brain tissues from MR images. The simulation results of the expectation–maximization algorithm for the segmentation of brain tissues from MR images are also furnished in this chapter and validated by performance metrics.

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Author information

Authors and Affiliations

  1. Lincoln University College, 15050, Kota Bharu, Malaysia

    Elisabeth Thomas

  2. Department of EEE, Amal Jyothi College of Engineering, Kottayam, Kerala, 686518, India

    S. N. Kumar

Authors
  1. Elisabeth Thomas
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  2. S. N. Kumar
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Corresponding author

Correspondence to S. N. Kumar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, West Bengal, India

    Asit Kumar Das

  2. Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo University (MSCB), Baripada, Odisha, India

    Janmenjoy Nayak

  3. Department of Computer Applications, Veer Surendra Sai University of Technology, Burla, Odisha, India

    Bighnaraj Naik

  4. Department of Artificial Intelligence and Data Science, Ramco Institute of Technology, Rajapalayam, Tamil Nadu, India

    S. Vimal

  5. Department of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Thomas, E., Kumar, S.N. (2023). An Overview of Segmentation Models for the Extraction of Brain Tissues from Magnetic Resonance Images. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 725. Springer, Singapore. https://doi.org/10.1007/978-981-99-3734-9_26

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