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Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation

We propose a novel method to quantify brain growth in 3 arbitrary orthogonal directions of the brain or its sub-regions through linear registration. This is achieved by introducing a 9 degrees of freedom (dof) transformation called anisotropic similarity which is an affine transformation with constr...

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Detalles Bibliográficos
Autores principales: Legouhy, Antoine, Commowick, Olivier, Proisy, Maïa, Rousseau, François, Barillot, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039415/
https://www.ncbi.nlm.nih.gov/pubmed/32092061
http://dx.doi.org/10.1371/journal.pone.0214174
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author Legouhy, Antoine
Commowick, Olivier
Proisy, Maïa
Rousseau, François
Barillot, Christian
author_facet Legouhy, Antoine
Commowick, Olivier
Proisy, Maïa
Rousseau, François
Barillot, Christian
author_sort Legouhy, Antoine
collection PubMed
description We propose a novel method to quantify brain growth in 3 arbitrary orthogonal directions of the brain or its sub-regions through linear registration. This is achieved by introducing a 9 degrees of freedom (dof) transformation called anisotropic similarity which is an affine transformation with constrained scaling directions along arbitrarily chosen orthogonal vectors. This gives the opportunity to extract scaling factors describing brain growth along those directions by registering a database of subjects onto a common reference. This information about directional growth brings insights that are not usually available in longitudinal volumetric analysis. The interest of this method is illustrated by studying the anisotropic regional and global brain development of 308 healthy subjects betwen 0 and 19 years old. A gender comparison of those scaling factors is also performed for four age-intervals. We demonstrate through these applications the stability of the method to the chosen reference and its ability to highlight growth differences accros regions and gender.
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spelling pubmed-70394152020-03-06 Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation Legouhy, Antoine Commowick, Olivier Proisy, Maïa Rousseau, François Barillot, Christian PLoS One Research Article We propose a novel method to quantify brain growth in 3 arbitrary orthogonal directions of the brain or its sub-regions through linear registration. This is achieved by introducing a 9 degrees of freedom (dof) transformation called anisotropic similarity which is an affine transformation with constrained scaling directions along arbitrarily chosen orthogonal vectors. This gives the opportunity to extract scaling factors describing brain growth along those directions by registering a database of subjects onto a common reference. This information about directional growth brings insights that are not usually available in longitudinal volumetric analysis. The interest of this method is illustrated by studying the anisotropic regional and global brain development of 308 healthy subjects betwen 0 and 19 years old. A gender comparison of those scaling factors is also performed for four age-intervals. We demonstrate through these applications the stability of the method to the chosen reference and its ability to highlight growth differences accros regions and gender. Public Library of Science 2020-02-24 /pmc/articles/PMC7039415/ /pubmed/32092061 http://dx.doi.org/10.1371/journal.pone.0214174 Text en © 2020 Legouhy et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Legouhy, Antoine
Commowick, Olivier
Proisy, Maïa
Rousseau, François
Barillot, Christian
Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
title Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
title_full Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
title_fullStr Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
title_full_unstemmed Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
title_short Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
title_sort regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039415/
https://www.ncbi.nlm.nih.gov/pubmed/32092061
http://dx.doi.org/10.1371/journal.pone.0214174
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