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Brain Tumor Detection, Demarcation and Quantification via MRI

by Navneet Kaur, Mamta Juneja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 18
Year of Publication: 2014
Authors: Navneet Kaur, Mamta Juneja
10.5120/15306-3753

Navneet Kaur, Mamta Juneja . Brain Tumor Detection, Demarcation and Quantification via MRI. International Journal of Computer Applications. 87, 18 ( February 2014), 8-12. DOI=10.5120/15306-3753

@article{ 10.5120/15306-3753,
author = { Navneet Kaur, Mamta Juneja },
title = { Brain Tumor Detection, Demarcation and Quantification via MRI },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 18 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number18/15306-3753/ },
doi = { 10.5120/15306-3753 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:14.164862+05:30
%A Navneet Kaur
%A Mamta Juneja
%T Brain Tumor Detection, Demarcation and Quantification via MRI
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 18
%P 8-12
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Under the scope of this paper an algorithm has been developed which takes the gradient differential as main criteria for identification of the brain tumor. The algorithm also tries to skip the areas of brain which do not suits the criteria of high intensity and high entropy as these are the main two characteristics of tumor area. Finally, the image is reconstructed using extended maxima transformation and regional maxima are found, and finally we get the most susceptible part of tumor. The results have shown that the algorithm takes only 3. 98 seconds on an average to identify the tumor and has good accuracy in terms of identification of tumor.

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Index Terms

Computer Science
Information Sciences

Keywords

Tumor MRI boundary image model and extended maxima transform.

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