Spine Tumor Detection Using MRI
International Journal of Biomedical Materials Research
Volume 4, Issue 3, December 2016, Pages: 35-42
Received: Oct. 27, 2016;
Accepted: Nov. 9, 2016;
Published: Dec. 12, 2016
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Md. Abdullah Al Mahmud, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh
A. H. M. Zadidul Karim, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh
Farhana Akter Mou, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh
Shaikh Rashedur Rahman, Department of Electrical and Electronic Engineering, University of Asia Pacific, Dhaka, Bangladesh
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Spine tumor, a severe disease, has affected and destroyed many lives. This disease has been the center of attraction of thousands of researchers for many decades, around the world. Researchers have combined their knowledge and efforts from many areas ranging from medical to mathematical sciences, to better understand the disease and to find more effective treatments. The key objective of this paper is to form a methodology for detection and extraction of spine tumor from a patient’s MRI. This method incorporates with some noise removal functions, segmentation and morphological operations which are the basic needs of image processing. Proposed methodology will detect tumor and finally the fractional area of spine tumor will be calculated. All of this processing will be done by MATLAB software.
Spine Tumor, MRI, MATLAB, Binary Image
To cite this article
Md. Abdullah Al Mahmud,
A. H. M. Zadidul Karim,
Farhana Akter Mou,
Shaikh Rashedur Rahman,
Spine Tumor Detection Using MRI, International Journal of Biomedical Materials Research.
Vol. 4, No. 3,
2016, pp. 35-42.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Anam Mustaqeem, Ali Javed, Tehseen Fatima An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation, I. J. Image, Graphics and Signal Processing, vol.10 PP.34-39, 2012.
Md. Abdullah Al Mahmud, A. H. M Zadidul Karim & Md. Mashiur Rahman, “Brain Tumor Detection using MR Images Through Pixel based Methodology” Global Journal of Computer Science and Technology: Graphics & Vision, Volume 15 Issue 4 Version 1.0 Year 2015, Publisher: Global Journals Inc. (USA), Online ISSN: 0975-4172 & Print ISSN: 0975-4350.