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Pixel based Symmetry Analysis of an Axial T2 Weighted Brain MRI

by Kirti Raj Bhatele, Sarita Singh Bhadauria
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 24
Year of Publication: 2015
Authors: Kirti Raj Bhatele, Sarita Singh Bhadauria
10.5120/20954-2266

Kirti Raj Bhatele, Sarita Singh Bhadauria . Pixel based Symmetry Analysis of an Axial T2 Weighted Brain MRI. International Journal of Computer Applications. 118, 24 ( May 2015), 9-14. DOI=10.5120/20954-2266

@article{ 10.5120/20954-2266,
author = { Kirti Raj Bhatele, Sarita Singh Bhadauria },
title = { Pixel based Symmetry Analysis of an Axial T2 Weighted Brain MRI },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 24 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number24/20954-2266/ },
doi = { 10.5120/20954-2266 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:40.624143+05:30
%A Kirti Raj Bhatele
%A Sarita Singh Bhadauria
%T Pixel based Symmetry Analysis of an Axial T2 Weighted Brain MRI
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 24
%P 9-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we have tried to encapsulate the recent developments in the field of Symmetry based approaches to detect tumor and then came up with a new parameter which plays a crucial role in proving that a high degree of Symmetry is present in an axial normal human brain MRI (Magnetic resonance Imaging) and this symmetry get affected or not present in abnormal cases highlighting the fact that tumor might be present. This paper also reveals one of the major technical flaw or loophole that is present in almost all Symmetry based approaches to detect tumor. As Symmetry is one of the most important properties of a human brain that can be utilized to detect the presence of tumor and other anomalies present in the human Brain. This paper tried to provide the proof of symmetry in human brain through a pixel based analysis using a number of neuro images cases. For the pixel based analysis T2 weighted MRI modality images are used. In this paper we are using T2 MRI images because in it an anomaly appears Hyper intense (brighter than the normal brain tissue).

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Index Terms

Computer Science
Information Sciences

Keywords

Symmetry Tumor Mean Pixel value T2 weighted Axial MRI left hemisphere Right hemisphere.

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