An automated and simple method for brain MR image extraction

<p>Abstract</p> <p>Background</p> <p>The extraction of brain tissue from magnetic resonance head images, is an important image processing step for the analyses of neuroimage data. The authors have developed an automated and simple brain extraction method using an improv...

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Main Authors: Zhu Zixin, Liu Jiafeng, Zhang Haiyan, Li Haiyun
Format: Article
Language:English
Published: BMC 2011-09-01
Series:BioMedical Engineering OnLine
Online Access:http://www.biomedical-engineering-online.com/content/10/1/81
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author Zhu Zixin
Liu Jiafeng
Zhang Haiyan
Li Haiyun
author_facet Zhu Zixin
Liu Jiafeng
Zhang Haiyan
Li Haiyun
author_sort Zhu Zixin
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The extraction of brain tissue from magnetic resonance head images, is an important image processing step for the analyses of neuroimage data. The authors have developed an automated and simple brain extraction method using an improved geometric active contour model.</p> <p>Methods</p> <p>The method uses an improved geometric active contour model which can not only solve the boundary leakage problem but also is less sensitive to intensity inhomogeneity. The method defines the initial function as a binary level set function to improve computational efficiency. The method is applied to both our data and Internet brain MR data provided by the Internet Brain Segmentation Repository.</p> <p>Results</p> <p>The results obtained from our method are compared with manual segmentation results using multiple indices. In addition, the method is compared to two popular methods, Brain extraction tool and Model-based Level Set.</p> <p>Conclusions</p> <p>The proposed method can provide automated and accurate brain extraction result with high efficiency.</p>
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spelling doaj.art-560352bd2687496592aee18c79a7e2312022-12-21T20:39:41ZengBMCBioMedical Engineering OnLine1475-925X2011-09-011018110.1186/1475-925X-10-81An automated and simple method for brain MR image extractionZhu ZixinLiu JiafengZhang HaiyanLi Haiyun<p>Abstract</p> <p>Background</p> <p>The extraction of brain tissue from magnetic resonance head images, is an important image processing step for the analyses of neuroimage data. The authors have developed an automated and simple brain extraction method using an improved geometric active contour model.</p> <p>Methods</p> <p>The method uses an improved geometric active contour model which can not only solve the boundary leakage problem but also is less sensitive to intensity inhomogeneity. The method defines the initial function as a binary level set function to improve computational efficiency. The method is applied to both our data and Internet brain MR data provided by the Internet Brain Segmentation Repository.</p> <p>Results</p> <p>The results obtained from our method are compared with manual segmentation results using multiple indices. In addition, the method is compared to two popular methods, Brain extraction tool and Model-based Level Set.</p> <p>Conclusions</p> <p>The proposed method can provide automated and accurate brain extraction result with high efficiency.</p>http://www.biomedical-engineering-online.com/content/10/1/81
spellingShingle Zhu Zixin
Liu Jiafeng
Zhang Haiyan
Li Haiyun
An automated and simple method for brain MR image extraction
BioMedical Engineering OnLine
title An automated and simple method for brain MR image extraction
title_full An automated and simple method for brain MR image extraction
title_fullStr An automated and simple method for brain MR image extraction
title_full_unstemmed An automated and simple method for brain MR image extraction
title_short An automated and simple method for brain MR image extraction
title_sort automated and simple method for brain mr image extraction
url http://www.biomedical-engineering-online.com/content/10/1/81
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AT zhuzixin automatedandsimplemethodforbrainmrimageextraction
AT liujiafeng automatedandsimplemethodforbrainmrimageextraction
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