4D segmentation of brain MR images with constrained cortical thickness variation.

Segmentation of brain MR images plays an important role in longitudinal investigation of developmental, aging, disease progression changes in the cerebral cortex. However, most existing brain segmentation methods consider multiple time-point images individually and thus cannot achieve longitudinal c...

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Autores principales:	Li Wang, Feng Shi, Gang Li, Dinggang Shen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/06d39f8aa9ea4a918ff6afd54e221e52
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id	oai:doaj.org-article:06d39f8aa9ea4a918ff6afd54e221e52
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spelling	oai:doaj.org-article:06d39f8aa9ea4a918ff6afd54e221e522021-11-18T07:39:12Z4D segmentation of brain MR images with constrained cortical thickness variation.1932-620310.1371/journal.pone.0064207https://doaj.org/article/06d39f8aa9ea4a918ff6afd54e221e522013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23843934/?tool=EBIhttps://doaj.org/toc/1932-6203Segmentation of brain MR images plays an important role in longitudinal investigation of developmental, aging, disease progression changes in the cerebral cortex. However, most existing brain segmentation methods consider multiple time-point images individually and thus cannot achieve longitudinal consistency. For example, cortical thickness measured from the segmented image will contain unnecessary temporal variations, which will affect the time related change pattern and eventually reduce the statistical power of analysis. In this paper, we propose a 4D segmentation framework for the adult brain MR images with the constraint of cortical thickness variations. Specifically, we utilize local intensity information to address the intensity inhomogeneity, spatial cortical thickness constraint to maintain the cortical thickness being within a reasonable range, and temporal cortical thickness variation constraint in neighboring time-points to suppress the artificial variations. The proposed method has been tested on BLSA dataset and ADNI dataset with promising results. Both qualitative and quantitative experimental results demonstrate the advantage of the proposed method, in comparison to other state-of-the-art 4D segmentation methods.Li WangFeng ShiGang LiDinggang ShenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e64207 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Li Wang Feng Shi Gang Li Dinggang Shen 4D segmentation of brain MR images with constrained cortical thickness variation.
description	Segmentation of brain MR images plays an important role in longitudinal investigation of developmental, aging, disease progression changes in the cerebral cortex. However, most existing brain segmentation methods consider multiple time-point images individually and thus cannot achieve longitudinal consistency. For example, cortical thickness measured from the segmented image will contain unnecessary temporal variations, which will affect the time related change pattern and eventually reduce the statistical power of analysis. In this paper, we propose a 4D segmentation framework for the adult brain MR images with the constraint of cortical thickness variations. Specifically, we utilize local intensity information to address the intensity inhomogeneity, spatial cortical thickness constraint to maintain the cortical thickness being within a reasonable range, and temporal cortical thickness variation constraint in neighboring time-points to suppress the artificial variations. The proposed method has been tested on BLSA dataset and ADNI dataset with promising results. Both qualitative and quantitative experimental results demonstrate the advantage of the proposed method, in comparison to other state-of-the-art 4D segmentation methods.
format	article
author	Li Wang Feng Shi Gang Li Dinggang Shen
author_facet	Li Wang Feng Shi Gang Li Dinggang Shen
author_sort	Li Wang
title	4D segmentation of brain MR images with constrained cortical thickness variation.
title_short	4D segmentation of brain MR images with constrained cortical thickness variation.
title_full	4D segmentation of brain MR images with constrained cortical thickness variation.
title_fullStr	4D segmentation of brain MR images with constrained cortical thickness variation.
title_full_unstemmed	4D segmentation of brain MR images with constrained cortical thickness variation.
title_sort	4d segmentation of brain mr images with constrained cortical thickness variation.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/06d39f8aa9ea4a918ff6afd54e221e52
work_keys_str_mv	AT liwang 4dsegmentationofbrainmrimageswithconstrainedcorticalthicknessvariation AT fengshi 4dsegmentationofbrainmrimageswithconstrainedcorticalthicknessvariation AT gangli 4dsegmentationofbrainmrimageswithconstrainedcorticalthicknessvariation AT dinggangshen 4dsegmentationofbrainmrimageswithconstrainedcorticalthicknessvariation
_version_	1718423140584914944

4D segmentation of brain MR images with constrained cortical thickness variation.

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