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...

Full description

Bibliographic Details
Main Authors:	Jasni, Mohamad Zain, Ahmed, M. Masroor, Rana, M.T.A
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	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

id	ump-6185
recordtype	eprints
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.. http://dx.doi.org/10.1109/ACSAT.2012.97 doi:10.1109/ACSAT.2012.97
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
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
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
format	Conference or Workshop Item
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
title	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_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_sort	context independent expectation maximization algorithm for segmentation of brain mr images
publishDate	2012
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
first_indexed	2023-09-18T22:01:45Z
last_indexed	2023-09-18T22:01:45Z
_version_	1777414444590039040

Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images

Similar Items