MR image processing : segmentation of the brain in MRI

Accurate and fully automatic segmentation of brain from magnetic resonance (MR)scans is a challenging problem that has received an enormous amount of attention lately. In this dissertation, we present a robust fully automatic method for segmenting the brain from head magnetic resonance (MR)images. T...

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Main Author: Li, Jia.
Other Authors: Song, Qing
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4633
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-46332023-07-04T15:57:41Z MR image processing : segmentation of the brain in MRI Li, Jia. Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Accurate and fully automatic segmentation of brain from magnetic resonance (MR)scans is a challenging problem that has received an enormous amount of attention lately. In this dissertation, we present a robust fully automatic method for segmenting the brain from head magnetic resonance (MR)images. This method works well even in the presence of radio frequency (RF) in homogeneities. It is a combination of several existing image processing techniques such as anisotropic filters and Binary morphology. Master of Science (Computer Control and Automation) 2008-09-17T09:55:39Z 2008-09-17T09:55:39Z 2004 2004 Thesis http://hdl.handle.net/10356/4633 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Li, Jia.
MR image processing : segmentation of the brain in MRI
description Accurate and fully automatic segmentation of brain from magnetic resonance (MR)scans is a challenging problem that has received an enormous amount of attention lately. In this dissertation, we present a robust fully automatic method for segmenting the brain from head magnetic resonance (MR)images. This method works well even in the presence of radio frequency (RF) in homogeneities. It is a combination of several existing image processing techniques such as anisotropic filters and Binary morphology.
author2 Song, Qing
author_facet Song, Qing
Li, Jia.
format Theses and Dissertations
author Li, Jia.
author_sort Li, Jia.
title MR image processing : segmentation of the brain in MRI
title_short MR image processing : segmentation of the brain in MRI
title_full MR image processing : segmentation of the brain in MRI
title_fullStr MR image processing : segmentation of the brain in MRI
title_full_unstemmed MR image processing : segmentation of the brain in MRI
title_sort mr image processing : segmentation of the brain in mri
publishDate 2008
url http://hdl.handle.net/10356/4633
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