Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images

For analyzing neurological disorders, realistic analysis of brain MRIs serves as a prerequisite step. This realistic analysis can be best described by segmenting the image into its constituent parts. Unfortunately, segmentation carried out by human visual system (HVS) is always influenced by certain...

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Main Authors: Jasni, Mohamad Zain, Ahmed, M. Masroor, Rana, M.T.A
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6185/
http://umpir.ump.edu.my/id/eprint/6185/1/mahmood2.pdf
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author Jasni, Mohamad Zain
Ahmed, M. Masroor
Rana, M.T.A
author_facet Jasni, Mohamad Zain
Ahmed, M. Masroor
Rana, M.T.A
author_sort Jasni, Mohamad Zain
building UMP Institutional Repository
collection Online Access
description For analyzing neurological disorders, realistic analysis of brain MRIs serves as a prerequisite step. This realistic analysis can be best described by segmenting the image into its constituent parts. Unfortunately, segmentation carried out by human visual system (HVS) is always influenced by certain factors. For example, inter-observer, intra-observer variability and large medical datasets. These factors make routine clinical applicability of HVS, a non practical way of examining MRIs. Therefore, to address this problem a fully automatic method is need of the hour. This paper discusses a highly efficient method i.e. the Expectation Maximization (EM) that precisely separates various parts of brain from a brain MRI. It works on the phenomenon of pixel labeling. The results obtained through this method are quite encouraging and are likely to contribute significantly in analyzing brain MRIs
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format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
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publishDate 2012
recordtype eprints
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spelling ump-61852018-05-21T05:23:05Z http://umpir.ump.edu.my/id/eprint/6185/ Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images Jasni, Mohamad Zain Ahmed, M. Masroor Rana, M.T.A QA75 Electronic computers. Computer science For analyzing neurological disorders, realistic analysis of brain MRIs serves as a prerequisite step. This realistic analysis can be best described by segmenting the image into its constituent parts. Unfortunately, segmentation carried out by human visual system (HVS) is always influenced by certain factors. For example, inter-observer, intra-observer variability and large medical datasets. These factors make routine clinical applicability of HVS, a non practical way of examining MRIs. Therefore, to address this problem a fully automatic method is need of the hour. This paper discusses a highly efficient method i.e. the Expectation Maximization (EM) that precisely separates various parts of brain from a brain MRI. It works on the phenomenon of pixel labeling. The results obtained through this method are quite encouraging and are likely to contribute significantly in analyzing brain MRIs 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6185/1/mahmood2.pdf Jasni, Mohamad Zain and Ahmed, M. Masroor and Rana, M.T.A (2012) Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images. In: Proceedings of International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2012) , 26-28 November 2012 , Kuala Lumpur. pp. 436-441.. (Published) http://dx.doi.org/10.1109/ACSAT.2012.97 doi:10.1109/ACSAT.2012.97
spellingShingle QA75 Electronic computers. Computer science
Jasni, Mohamad Zain
Ahmed, M. Masroor
Rana, M.T.A
Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
title Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
title_full Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
title_fullStr Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
title_full_unstemmed Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
title_short Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
title_sort context independent expectation maximization algorithm for segmentation of brain mr images
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/6185/
http://umpir.ump.edu.my/id/eprint/6185/
http://umpir.ump.edu.my/id/eprint/6185/
http://umpir.ump.edu.my/id/eprint/6185/1/mahmood2.pdf