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Inspection of 2D Brain MRI Slice Using Watershed Algorithm

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Book cover Intelligent Data Engineering and Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1177))

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Abstract

The abnormalities in the brain are frequently examined with signal/image supported methodologies. Image-based procedures will disclose more information concerning the functioning of brain contrast to signal assisted techniques. In this study, the examination of the Flair modality brain MRI is considered for testing. Compared to supplementary modalities, Flair MRI (FMRI) suggests improved visibility of the infected brain section; hence an automated procedure can be easily implemented for FMRI. This work implements an established automation procedure called the Marker Controlled Watershed Mining (MCWS) to extract the infected section from the chosen brain FMRI slice. The investigational exploration is implemented with the BRATS2015 database, and finally, the superiority of MCWS mining is confirmed by computing the picture similarity measures (PSM). This work confirms that MCWS practice offers an average PSM of >92% for the considered FMRIs.

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Author information

Authors and Affiliations

  1. Department of Electronics and Instrumentation, St. Joseph’s College of Engineering, Chennai, Tamilnadu, 600119, India

    D. Hariharan, S. Hemachandar, N. Sri Madhava Raja & K. Sundaravadivu

  2. Department of Computer and Mathematical Sciences, University of Houston, Downtown, TX, 77002, USA

    Hong Lin

Authors
  1. D. Hariharan
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  2. S. Hemachandar
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  3. N. Sri Madhava Raja
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  4. Hong Lin
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  5. K. Sundaravadivu
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Corresponding author

Correspondence to N. Sri Madhava Raja .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute Industrial Technology, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  3. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. School of Management, National Institute of Technology Karnataka, Surathkal, Karnataka, India

    Ritanjali Majhi

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Hariharan, D., Hemachandar, S., Sri Madhava Raja, N., Lin, H., Sundaravadivu, K. (2021). Inspection of 2D Brain MRI Slice Using Watershed Algorithm. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_70

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