Spine Tumor Detection Using MRI

Md. Abdullah Al Mahmud; A. H. M. Zadidul Karim; Farhana Akter Mou; Shaikh Rashedur Rahman

doi:doi:10.11648/j.ijbmr.20160403.15

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Spine Tumor Detection Using MRI

Md. Abdullah Al Mahmud, A. H. M. Zadidul Karim, Farhana Akter Mou, Shaikh Rashedur Rahman

Published in International Journal of Biomedical Materials Research (Volume 4, Issue 3)

Received: 27 October 2016 Accepted: 9 November 2016 Published: 12 December 2016

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Abstract

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.

Published in	International Journal of Biomedical Materials Research (Volume 4, Issue 3)
DOI	10.11648/j.ijbmr.20160403.15
Page(s)	35-42
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Spine Tumor, MRI, MATLAB, Binary Image

References

[1]	https://medlineplus.gov/spinalcorddiseases.html.
[2]	https://en.wikipedia.org/wiki/Spinal_disease.
[3]	http://www.spine-health.com/conditions/spinal-tumor/types-spinal-tumors.
[4]	http://www.mayoclinic.org/diseases-conditions/spinal-cord-tumor/home/ovc-20117315.
[5]	http://www.webmd.com/a-to-z-guides/magnetic-resonance-imaging-mri#1.
[6]	http://www.medicinenet.com/mri_scan/article.htm.
[7]	https://en.wikipedia.org/wiki/Magnetic_resonance_imaging.
[8]	Rajesh C. Patil, 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.
[9]	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.
[10]	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.

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APA Style

Md. Abdullah Al Mahmud, A. H. M. Zadidul Karim, Farhana Akter Mou, Shaikh Rashedur Rahman. (2016). Spine Tumor Detection Using MRI. International Journal of Biomedical Materials Research, 4(3), 35-42. https://doi.org/10.11648/j.ijbmr.20160403.15

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ACS Style

Md. Abdullah Al Mahmud; A. H. M. Zadidul Karim; Farhana Akter Mou; Shaikh Rashedur Rahman. Spine Tumor Detection Using MRI. Int. J. Biomed. Mater. Res. 2016, 4(3), 35-42. doi: 10.11648/j.ijbmr.20160403.15

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AMA Style

Md. Abdullah Al Mahmud, A. H. M. Zadidul Karim, Farhana Akter Mou, Shaikh Rashedur Rahman. Spine Tumor Detection Using MRI. Int J Biomed Mater Res. 2016;4(3):35-42. doi: 10.11648/j.ijbmr.20160403.15

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@article{10.11648/j.ijbmr.20160403.15,
  author = {Md. Abdullah Al Mahmud and A. H. M. Zadidul Karim and Farhana Akter Mou and Shaikh Rashedur Rahman},
  title = {Spine Tumor Detection Using MRI},
  journal = {International Journal of Biomedical Materials Research},
  volume = {4},
  number = {3},
  pages = {35-42},
  doi = {10.11648/j.ijbmr.20160403.15},
  url = {https://doi.org/10.11648/j.ijbmr.20160403.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbmr.20160403.15},
  abstract = {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.},
 year = {2016}
}

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TY  - JOUR
T1  - Spine Tumor Detection Using MRI
AU  - Md. Abdullah Al Mahmud
AU  - A. H. M. Zadidul Karim
AU  - Farhana Akter Mou
AU  - Shaikh Rashedur Rahman
Y1  - 2016/12/12
PY  - 2016
N1  - https://doi.org/10.11648/j.ijbmr.20160403.15
DO  - 10.11648/j.ijbmr.20160403.15
T2  - International Journal of Biomedical Materials Research
JF  - International Journal of Biomedical Materials Research
JO  - International Journal of Biomedical Materials Research
SP  - 35
EP  - 42
PB  - Science Publishing Group
SN  - 2330-7579
UR  - https://doi.org/10.11648/j.ijbmr.20160403.15
AB  - 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.
VL  - 4
IS  - 3
ER  -

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Author Information

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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APA Style

Md. Abdullah Al Mahmud, A. H. M. Zadidul Karim, Farhana Akter Mou, Shaikh Rashedur Rahman. (2016). Spine Tumor Detection Using MRI. International Journal of Biomedical Materials Research, 4(3), 35-42. https://doi.org/10.11648/j.ijbmr.20160403.15

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ACS Style

Md. Abdullah Al Mahmud; A. H. M. Zadidul Karim; Farhana Akter Mou; Shaikh Rashedur Rahman. Spine Tumor Detection Using MRI. Int. J. Biomed. Mater. Res. 2016, 4(3), 35-42. doi: 10.11648/j.ijbmr.20160403.15

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AMA Style

Md. Abdullah Al Mahmud, A. H. M. Zadidul Karim, Farhana Akter Mou, Shaikh Rashedur Rahman. Spine Tumor Detection Using MRI. Int J Biomed Mater Res. 2016;4(3):35-42. doi: 10.11648/j.ijbmr.20160403.15

Copy | Download

@article{10.11648/j.ijbmr.20160403.15,
  author = {Md. Abdullah Al Mahmud and A. H. M. Zadidul Karim and Farhana Akter Mou and Shaikh Rashedur Rahman},
  title = {Spine Tumor Detection Using MRI},
  journal = {International Journal of Biomedical Materials Research},
  volume = {4},
  number = {3},
  pages = {35-42},
  doi = {10.11648/j.ijbmr.20160403.15},
  url = {https://doi.org/10.11648/j.ijbmr.20160403.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbmr.20160403.15},
  abstract = {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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Spine Tumor Detection Using MRI
AU  - Md. Abdullah Al Mahmud
AU  - A. H. M. Zadidul Karim
AU  - Farhana Akter Mou
AU  - Shaikh Rashedur Rahman
Y1  - 2016/12/12
PY  - 2016
N1  - https://doi.org/10.11648/j.ijbmr.20160403.15
DO  - 10.11648/j.ijbmr.20160403.15
T2  - International Journal of Biomedical Materials Research
JF  - International Journal of Biomedical Materials Research
JO  - International Journal of Biomedical Materials Research
SP  - 35
EP  - 42
PB  - Science Publishing Group
SN  - 2330-7579
UR  - https://doi.org/10.11648/j.ijbmr.20160403.15
AB  - 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.
VL  - 4
IS  - 3
ER  -

Copy | Download