Brain Tumour Segmentation using Level Set Method and Affected Area Calculation

Authors

  • Md. Manik Ahmed Pabna University of Science & Technology
  • Md. Imran Hossain Pabna University of Science & Technology

DOI:

https://doi.org/10.18034/ei.v3i2.191

Keywords:

MRI, Segmentation, LSM, Area, Morphological, Matlab

Abstract

Medical image processing is the most important and challenging field now days. MRI image processing is one of the parts of this field. Brain tumour segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. In this paper we proposed a variational level set method and some morphological operation to segment the brain tumour from MRI image by using MATLAB. Actually we describe variational formulation on geometric active contours that forces the level set function at zero level to be close to signed distance function and without re-initialization process. The variational formulation uses energy function and partial diferential equation to evolve the level set function. Tumour shape area is connected component in binary image and calculated this connected area using some properties of morphological operation.

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Author Biographies

  • Md. Manik Ahmed, Pabna University of Science & Technology

    Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, 6600, BANGLADESH

  • Md. Imran Hossain, Pabna University of Science & Technology

    Assistant Professor, Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, 6600, BANGLADESH

References

Chunming Li, Chenyang Xu, Changfeng Gui, and Martin D. Fox, “Level Set Evolution Without Re-initialization: A New Variational Formulation”.

Hongzhe Yang, Lihui Zhao, and Songyuan Tang. “Brain Tumor Segmentation Using Geodesic Region-based Level Set without Re-initialization”, “International Journal of Signal Processing, Image Processing and Pattern Recognition”,Vol.7, No.1 (2014), pp.213-224.

Information and Resources, “http://www.webmd.com/a-to-z-guides/magnetic-resonance-imaging-mri”.

Rachana Rana, H.S. Bhdauria, Annapuma Singh, “Brain Tumour Extraction from MRI Images Using Bounding-Box with Level Set Method”.

Rajesh C. Patil and Dr. A. S. Bhalchandra, “Brain Tumour Extraction from MRI Images Using MATLAB”, “International Journal of Electronics, Communication & Soft Computing Science and Engineering”, ISSN: 2277-9477, Volume 2, Issue 1.

S. Osher, J. A. Sethian, “Fronts propagating with curvaturedependent speed: algorithms based on Hamilton-Jacobi formulations”, J. Comp. Phys., vol. 79, pp. 12-49, 1988.

What is MRI? How does MRI work?, http://www.medicalnewstoday.com/articles/146309.php

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Published

2015-12-30

Issue

Vol. 3 No. 2 (2015): July - December

Section

Peer Reviewed Articles

License

Engineering International is licensed under a Creative Commons Attribution-Noncommercial 4.0 International License (CC-BY-NC). Articles can be read and shared for noncommercial purposes under the following conditions:

  • BY: Attribution must be given to the original source (Attribution)
  • NC: Works may not be used for commercial purposes (Noncommercial)

 

How to Cite

Ahmed, M. M., & Hossain, M. I. (2015). Brain Tumour Segmentation using Level Set Method and Affected Area Calculation. Engineering International, 3(2), 65-74. https://doi.org/10.18034/ei.v3i2.191

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