Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen

The objective of this thesis is to develop a scheme for detecting the region of interest (ROI), namely, liver from the abdomen MR images, which will pave the way in future for the development of an automated diagnostic and analysis system for liver related diseases. Though a large amount of modaliti...

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Main Author:	Lo, Pechin Chien Pau
Format:	Thesis
Published:	2005
Subjects:	SF951 Diseases of Special Classes of Animals
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id	my-mmu-ep.432
record_format	uketd_dc
spelling	my-mmu-ep.4322010-06-15T10:22:48Z Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen 2005 Lo, Pechin Chien Pau SF951 Diseases of Special Classes of Animals The objective of this thesis is to develop a scheme for detecting the region of interest (ROI), namely, liver from the abdomen MR images, which will pave the way in future for the development of an automated diagnostic and analysis system for liver related diseases. Though a large amount of modalities are available in MR imaging, only T2 images are used for the work carried out in this thesis. A general purpose manual labelling tool for defining ROI and two automated schemes for ROI detection of the liver are presented in this thesis. 2005 Thesis http://shdl.mmu.edu.my/432/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	SF951 Diseases of Special Classes of Animals
spellingShingle	SF951 Diseases of Special Classes of Animals Lo, Pechin Chien Pau Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
description	The objective of this thesis is to develop a scheme for detecting the region of interest (ROI), namely, liver from the abdomen MR images, which will pave the way in future for the development of an automated diagnostic and analysis system for liver related diseases. Though a large amount of modalities are available in MR imaging, only T2 images are used for the work carried out in this thesis. A general purpose manual labelling tool for defining ROI and two automated schemes for ROI detection of the liver are presented in this thesis.
format	Thesis
qualification_level	Master's degree
author	Lo, Pechin Chien Pau
author_facet	Lo, Pechin Chien Pau
author_sort	Lo, Pechin Chien Pau
title	Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
title_short	Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
title_full	Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
title_fullStr	Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
title_full_unstemmed	Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
title_sort	automated labelling methods for the extraction of liver region from magnetic resonance images of abdomen
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2005
_version_	1747829132398428160

Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen

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