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

Legouhy, A; Commowick, O; Proisy, M; Rousseau, F; Barillot, C; (2020) Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation. PLOS ONE , 15 (2) , Article e0214174. 10.1371/journal.pone.0214174. Green open access

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Abstract

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.

Type: Article
Title: Regional brain development analysis through registration using anisotropic similarity, a constrained affine transformation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0214174
Publisher version: https://doi.org/10.1371/journal.pone.0214174
Language: English
Additional information: Copyright © 2020 Legouhy et al. 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.
Keywords: Anisotropy, Imaging techniques, Brain development, Cerebellum, Curve fitting, Algorithms, Basal ganglia, Magnetic resonance imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10124107
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