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The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease

Tract-based spatial statistics (TBSS) is a popular method for the analysis of diffusion tensor imaging data. TBSS focuses on differences in white matter voxels with high fractional anisotropy (FA), representing the major fibre tracts, through registering all subjects to a common reference and the cr...

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Detalles Bibliográficos
Autores principales: Keihaninejad, Shiva, Ryan, Natalie S., Malone, Ian B., Modat, Marc, Cash, David, Ridgway, Gerard R., Zhang, Hui, Fox, Nick C., Ourselin, Sebastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491011/
https://www.ncbi.nlm.nih.gov/pubmed/23139736
http://dx.doi.org/10.1371/journal.pone.0045996
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author Keihaninejad, Shiva
Ryan, Natalie S.
Malone, Ian B.
Modat, Marc
Cash, David
Ridgway, Gerard R.
Zhang, Hui
Fox, Nick C.
Ourselin, Sebastien
author_facet Keihaninejad, Shiva
Ryan, Natalie S.
Malone, Ian B.
Modat, Marc
Cash, David
Ridgway, Gerard R.
Zhang, Hui
Fox, Nick C.
Ourselin, Sebastien
author_sort Keihaninejad, Shiva
collection PubMed
description Tract-based spatial statistics (TBSS) is a popular method for the analysis of diffusion tensor imaging data. TBSS focuses on differences in white matter voxels with high fractional anisotropy (FA), representing the major fibre tracts, through registering all subjects to a common reference and the creation of a FA skeleton. This work considers the effect of choice of reference in the TBSS pipeline, which can be a standard template, an individual subject from the study, a study-specific template or a group-wise average. While TBSS attempts to overcome registration error by searching the neighbourhood perpendicular to the FA skeleton for the voxel with maximum FA, this projection step may not compensate for large registration errors that might occur in the presence of pathology such as atrophy in neurodegenerative diseases. This makes registration performance and choice of reference an important issue. Substantial work in the field of computational anatomy has shown the use of group-wise averages to reduce biases while avoiding the arbitrary selection of a single individual. Here, we demonstrate the impact of the choice of reference on: (a) specificity (b) sensitivity in a simulation study and (c) a real-world comparison of Alzheimer's disease patients to controls. In (a) and (b), simulated deformations and decreases in FA were applied to control subjects to simulate changes of shape and WM integrity similar to what would be seen in AD patients, in order to provide a “ground truth” for evaluating the various methods of TBSS reference. Using a group-wise average atlas as the reference outperformed other references in the TBSS pipeline in all evaluations.
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spelling pubmed-34910112012-11-08 The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease Keihaninejad, Shiva Ryan, Natalie S. Malone, Ian B. Modat, Marc Cash, David Ridgway, Gerard R. Zhang, Hui Fox, Nick C. Ourselin, Sebastien PLoS One Research Article Tract-based spatial statistics (TBSS) is a popular method for the analysis of diffusion tensor imaging data. TBSS focuses on differences in white matter voxels with high fractional anisotropy (FA), representing the major fibre tracts, through registering all subjects to a common reference and the creation of a FA skeleton. This work considers the effect of choice of reference in the TBSS pipeline, which can be a standard template, an individual subject from the study, a study-specific template or a group-wise average. While TBSS attempts to overcome registration error by searching the neighbourhood perpendicular to the FA skeleton for the voxel with maximum FA, this projection step may not compensate for large registration errors that might occur in the presence of pathology such as atrophy in neurodegenerative diseases. This makes registration performance and choice of reference an important issue. Substantial work in the field of computational anatomy has shown the use of group-wise averages to reduce biases while avoiding the arbitrary selection of a single individual. Here, we demonstrate the impact of the choice of reference on: (a) specificity (b) sensitivity in a simulation study and (c) a real-world comparison of Alzheimer's disease patients to controls. In (a) and (b), simulated deformations and decreases in FA were applied to control subjects to simulate changes of shape and WM integrity similar to what would be seen in AD patients, in order to provide a “ground truth” for evaluating the various methods of TBSS reference. Using a group-wise average atlas as the reference outperformed other references in the TBSS pipeline in all evaluations. Public Library of Science 2012-11-06 /pmc/articles/PMC3491011/ /pubmed/23139736 http://dx.doi.org/10.1371/journal.pone.0045996 Text en © 2012 Keihaninejad 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Keihaninejad, Shiva
Ryan, Natalie S.
Malone, Ian B.
Modat, Marc
Cash, David
Ridgway, Gerard R.
Zhang, Hui
Fox, Nick C.
Ourselin, Sebastien
The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease
title The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease
title_full The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease
title_fullStr The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease
title_full_unstemmed The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease
title_short The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease
title_sort importance of group-wise registration in tract based spatial statistics study of neurodegeneration: a simulation study in alzheimer's disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3491011/
https://www.ncbi.nlm.nih.gov/pubmed/23139736
http://dx.doi.org/10.1371/journal.pone.0045996
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