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Brain Tumor Boundary Segmentation of MR Imaging using Spatial Domain Image Processing

Authors

  • Chandrika Malkanthi

    University of Peradeniya, Sri Lanka

    Author

  • Maheshi B Dissanayake

    University of Peradeniya, Sri Lanka

    Author

DOI:
https://doi.org/10.31686/ijier.vol5.iss10.621
Keywords:
Array, Array, Array, Array
Abstract

Extracting information for medical purposes from magnetic resonance imaging is critically important for diagnostic and treatment plans. In this paper, a simple algorithm for tumor segmentation of Magnetic resonance imaging (MRI) is introduced. The novelty incorporates, preserving fine details of the input image while detecting the boundary accurately. Tumor segmentation is carried out by set of pre processing steps followed by morphological operations. Rough contour of the tumor is localized to reduce the search space for the boundary. Line drawing algorithm in cooperated with pixel selection criteria is used to detect the accurate boundary. The algorithm is evaluated in terms of the performance and accuracy with radiologist labelled ground truth MRI scans. Simulation results show that the proposed algorithm provides better identification with above 95% of accuracy, for clearly distinguishable tumors in relation to conventional contour detection methods.

Author Biographies
  1. Chandrika Malkanthi, University of Peradeniya, Sri Lanka

    Department of Statistics and Computer Science, Faculty of Science

  2. Maheshi B Dissanayake, University of Peradeniya, Sri Lanka

    Department of Electrical and Electronic Engineering, Faculty of Engineering

     

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Published
2017-10-01
Issue
Vol. 5 No. 10 (2017): International Journal for Innovation Education and Research
Section
Journal Articles
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Copyright (c) 2017 Chandrika Malkanthi, Maheshi B Dissanayake

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How to Cite

Malkanthi, C., & Dissanayake, M. B. (2017). Brain Tumor Boundary Segmentation of MR Imaging using Spatial Domain Image Processing. International Journal for Innovation Education and Research, 5(10), 1-9. https://doi.org/10.31686/ijier.vol5.iss10.621