Confirming the diversity of the brain after normalization: an approach based on identity authentication.

During the development of neuroimaging, numerous analyses were performed to identify population differences, such as studies on age, gender, and diseases. Researchers first normalized the brain image and then identified features that represent key differences between groups. In these studies, the qu...

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Autores principales:	Fanglin Chen, Longfei Su, Yadong Liu, Dewen Hu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0407e70eea6e4fb2ae8dcf4921fe22f8
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id	oai:doaj.org-article:0407e70eea6e4fb2ae8dcf4921fe22f8
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spelling	oai:doaj.org-article:0407e70eea6e4fb2ae8dcf4921fe22f82021-11-18T07:59:34ZConfirming the diversity of the brain after normalization: an approach based on identity authentication.1932-620310.1371/journal.pone.0054328https://doaj.org/article/0407e70eea6e4fb2ae8dcf4921fe22f82013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23382891/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203During the development of neuroimaging, numerous analyses were performed to identify population differences, such as studies on age, gender, and diseases. Researchers first normalized the brain image and then identified features that represent key differences between groups. In these studies, the question of whether normalization (a pre-processing step widely used in neuroimaging studies) reduces the diversity of brains was largely ignored. There are a few studies that identify the differences between individuals after normalization. In the current study, we analyzed brain diversity on an individual level, both qualitatively and quantitatively. The main idea was to utilize brain images for identity authentication. First, the brain images were normalized and registered. Then, a pixel-level matching method was developed to compute the identity difference between different images for matching. Finally, by analyzing the performance of the proposed brain recognition strategy, the individual differences in brain images were evaluated. Experimental results on a 150-subject database showed that the proposed approach could achieve a 100% identification ratio, which indicated distinct differences between individuals after normalization. Thus, the results proved that after the normalization stage, brain images retain their main distinguishing information and features. Based on this result, we suggest that diversity (individual differences) should be considered when conducting group analysis, and that this approach may facilitate group pattern classification.Fanglin ChenLongfei SuYadong LiuDewen HuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e54328 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fanglin Chen Longfei Su Yadong Liu Dewen Hu Confirming the diversity of the brain after normalization: an approach based on identity authentication.
description	During the development of neuroimaging, numerous analyses were performed to identify population differences, such as studies on age, gender, and diseases. Researchers first normalized the brain image and then identified features that represent key differences between groups. In these studies, the question of whether normalization (a pre-processing step widely used in neuroimaging studies) reduces the diversity of brains was largely ignored. There are a few studies that identify the differences between individuals after normalization. In the current study, we analyzed brain diversity on an individual level, both qualitatively and quantitatively. The main idea was to utilize brain images for identity authentication. First, the brain images were normalized and registered. Then, a pixel-level matching method was developed to compute the identity difference between different images for matching. Finally, by analyzing the performance of the proposed brain recognition strategy, the individual differences in brain images were evaluated. Experimental results on a 150-subject database showed that the proposed approach could achieve a 100% identification ratio, which indicated distinct differences between individuals after normalization. Thus, the results proved that after the normalization stage, brain images retain their main distinguishing information and features. Based on this result, we suggest that diversity (individual differences) should be considered when conducting group analysis, and that this approach may facilitate group pattern classification.
format	article
author	Fanglin Chen Longfei Su Yadong Liu Dewen Hu
author_facet	Fanglin Chen Longfei Su Yadong Liu Dewen Hu
author_sort	Fanglin Chen
title	Confirming the diversity of the brain after normalization: an approach based on identity authentication.
title_short	Confirming the diversity of the brain after normalization: an approach based on identity authentication.
title_full	Confirming the diversity of the brain after normalization: an approach based on identity authentication.
title_fullStr	Confirming the diversity of the brain after normalization: an approach based on identity authentication.
title_full_unstemmed	Confirming the diversity of the brain after normalization: an approach based on identity authentication.
title_sort	confirming the diversity of the brain after normalization: an approach based on identity authentication.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/0407e70eea6e4fb2ae8dcf4921fe22f8
work_keys_str_mv	AT fanglinchen confirmingthediversityofthebrainafternormalizationanapproachbasedonidentityauthentication AT longfeisu confirmingthediversityofthebrainafternormalizationanapproachbasedonidentityauthentication AT yadongliu confirmingthediversityofthebrainafternormalizationanapproachbasedonidentityauthentication AT dewenhu confirmingthediversityofthebrainafternormalizationanapproachbasedonidentityauthentication
_version_	1718422645981052928

Confirming the diversity of the brain after normalization: an approach based on identity authentication.

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