Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies

We present a novel group-wise registration method for cortical correspondence for local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is based on our earlier template based registration that estimates a continuous, smooth deformation field via s...

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Main Authors:	Lyu, Ilwoo, Kim, Sun H., Seong, Joon-Kyung, Yoo, Sang W., Evans, Alan, Shi, Yundi, Sanchez, Mar, Niethammer, Marc, Styner, Martin A.
Format:	Online
Language:	English
Published:	Frontiers Media S.A. 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462677/

id	pubmed-4462677
recordtype	oai_dc
spelling	pubmed-44626772015-06-25 Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies Lyu, Ilwoo Kim, Sun H. Seong, Joon-Kyung Yoo, Sang W. Evans, Alan Shi, Yundi Sanchez, Mar Niethammer, Marc Styner, Martin A. Neuroscience We present a novel group-wise registration method for cortical correspondence for local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is based on our earlier template based registration that estimates a continuous, smooth deformation field via sulcal curve-constrained registration employing spherical harmonic decomposition of the deformation field. This pairwise registration though results in a well-known template selection bias, which we aim to overcome here via a group-wise approach. We propose the use of an unbiased ensemble entropy minimization following the use of the pairwise registration as an initialization. An individual deformation field is then iteratively updated onto the unbiased average. For the optimization, we use metrics specific for cortical correspondence though all of these are straightforwardly extendable to the generic setting: The first focused on optimizing the correspondence of automatically extracted sulcal landmarks and the second on that of sulcal depth property maps. We further propose a robust entropy metric and a hierarchical optimization by employing spherical harmonic basis orthogonality. We also provide the detailed methodological description of both our earlier work and the proposed method with a set of experiments on a population of human and non-human primate subjects. In the experiment, we have shown that our method achieves superior results on consistency through quantitative and visual comparisons as compared to the existing methods. Frontiers Media S.A. 2015-06-11 /pmc/articles/PMC4462677/ /pubmed/26113807 http://dx.doi.org/10.3389/fnins.2015.00210 Text en Copyright © 2015 Lyu, Kim, Seong, Yoo, Evans, Shi, Sanchez, Niethammer and Styner. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Lyu, Ilwoo Kim, Sun H. Seong, Joon-Kyung Yoo, Sang W. Evans, Alan Shi, Yundi Sanchez, Mar Niethammer, Marc Styner, Martin A.
spellingShingle	Lyu, Ilwoo Kim, Sun H. Seong, Joon-Kyung Yoo, Sang W. Evans, Alan Shi, Yundi Sanchez, Mar Niethammer, Marc Styner, Martin A. Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
author_facet	Lyu, Ilwoo Kim, Sun H. Seong, Joon-Kyung Yoo, Sang W. Evans, Alan Shi, Yundi Sanchez, Mar Niethammer, Marc Styner, Martin A.
author_sort	Lyu, Ilwoo
title	Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
title_short	Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
title_full	Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
title_fullStr	Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
title_full_unstemmed	Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
title_sort	robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies
description	We present a novel group-wise registration method for cortical correspondence for local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is based on our earlier template based registration that estimates a continuous, smooth deformation field via sulcal curve-constrained registration employing spherical harmonic decomposition of the deformation field. This pairwise registration though results in a well-known template selection bias, which we aim to overcome here via a group-wise approach. We propose the use of an unbiased ensemble entropy minimization following the use of the pairwise registration as an initialization. An individual deformation field is then iteratively updated onto the unbiased average. For the optimization, we use metrics specific for cortical correspondence though all of these are straightforwardly extendable to the generic setting: The first focused on optimizing the correspondence of automatically extracted sulcal landmarks and the second on that of sulcal depth property maps. We further propose a robust entropy metric and a hierarchical optimization by employing spherical harmonic basis orthogonality. We also provide the detailed methodological description of both our earlier work and the proposed method with a set of experiments on a population of human and non-human primate subjects. In the experiment, we have shown that our method achieves superior results on consistency through quantitative and visual comparisons as compared to the existing methods.
publisher	Frontiers Media S.A.
publishDate	2015
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462677/
_version_	1613234108467511296

Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies

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