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Brain Abnormality Detection from MR Images using Matrix Symmetry Method

Published on May 2014 by Indrajeet Kumar, Rahul Shankar Jha, Sujit Kumar, Samarjeet Borah
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National Conference cum Workshop on Bioinformatics and Computational Biology
Foundation of Computer Science USA
NCWBCB - Number 3
May 2014
Authors: Indrajeet Kumar, Rahul Shankar Jha, Sujit Kumar, Samarjeet Borah
977acbc2-52e1-4b6f-8a73-fe6158c01b1d

Indrajeet Kumar, Rahul Shankar Jha, Sujit Kumar, Samarjeet Borah . Brain Abnormality Detection from MR Images using Matrix Symmetry Method. National Conference cum Workshop on Bioinformatics and Computational Biology. NCWBCB, 3 (May 2014), 22-25.

@article{
author = { Indrajeet Kumar, Rahul Shankar Jha, Sujit Kumar, Samarjeet Borah },
title = { Brain Abnormality Detection from MR Images using Matrix Symmetry Method },
journal = { National Conference cum Workshop on Bioinformatics and Computational Biology },
issue_date = { May 2014 },
volume = { NCWBCB },
number = { 3 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 22-25 },
numpages = 4,
url = { /proceedings/ncwbcb/number3/16524-1426/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference cum Workshop on Bioinformatics and Computational Biology
%A Indrajeet Kumar
%A Rahul Shankar Jha
%A Sujit Kumar
%A Samarjeet Borah
%T Brain Abnormality Detection from MR Images using Matrix Symmetry Method
%J National Conference cum Workshop on Bioinformatics and Computational Biology
%@ 0975-8887
%V NCWBCB
%N 3
%P 22-25
%D 2014
%I International Journal of Computer Applications
Abstract

Brain abnormality is a major of cause disability and death in human being. Brain Abnormality is an abnormal growth of cells within the brain. It is the mass of tissue in which some cells grow uncontrollably. For early diagnosis of Abnormality in tissue samples research and development activities are concentrated on the exploration of automatic image analysis. Magnetic Resonance Tomography (MRT) or Magnetic Resonance (MR) imaging is one of the major techniques used by radiologist to diagnose brain internal structure. This technique uses radio frequency pulses of magnetic field to examine different organs. The output of this technique is MR image in DICOM format that can be viewed on computer. This paper reviews some remarkable works from literature along with the basic concepts related to automatic brain abnormality detection techniques. It also includes suggestions for developing a system that can locate brain abnormality in real time. In today's world many clinical centers or hospitals that maintain large database of MR images, finds the task of indexing the available database according to size or location or other attributes very difficult. To date, automated brain abnormality segmentation from MR images remains a challenging, computationally intensive task. The set of MR slices of a patient is taken as input. In this paper we consider abnormality detection problem as change detection problem, our approach is to identify the most dissimilar region between the left and right halves of brain.

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Index Terms

Computer Science
Information Sciences

Keywords

Magnetic Resonance Tomography (mrt) Dicom Magnetic Resonance (mr) Imaging