The power-proportion method for intracranial volume correction in volumetric imaging analysis

In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetri...

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Detalles Bibliográficos
Autores principales: Liu, Dawei, Johnson, Hans J., Long, Jeffrey D., Magnotta, Vincent A., Paulsen, Jane S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222222/
https://www.ncbi.nlm.nih.gov/pubmed/25414635
http://dx.doi.org/10.3389/fnins.2014.00356
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author Liu, Dawei
Johnson, Hans J.
Long, Jeffrey D.
Magnotta, Vincent A.
Paulsen, Jane S.
author_facet Liu, Dawei
Johnson, Hans J.
Long, Jeffrey D.
Magnotta, Vincent A.
Paulsen, Jane S.
author_sort Liu, Dawei
collection PubMed
description In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetric imaging analysis, we propose a power law based method—the power-proportion method—for ICV correction. The performance of the new method is demonstrated using data from the PREDICT-HD study.
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spelling pubmed-42222222014-11-20 The power-proportion method for intracranial volume correction in volumetric imaging analysis Liu, Dawei Johnson, Hans J. Long, Jeffrey D. Magnotta, Vincent A. Paulsen, Jane S. Front Neurosci Neuroscience In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetric imaging analysis, we propose a power law based method—the power-proportion method—for ICV correction. The performance of the new method is demonstrated using data from the PREDICT-HD study. Frontiers Media S.A. 2014-11-06 /pmc/articles/PMC4222222/ /pubmed/25414635 http://dx.doi.org/10.3389/fnins.2014.00356 Text en Copyright © 2014 Liu, Johnson, Long, Magnotta and Paulsen. 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.
spellingShingle Neuroscience
Liu, Dawei
Johnson, Hans J.
Long, Jeffrey D.
Magnotta, Vincent A.
Paulsen, Jane S.
The power-proportion method for intracranial volume correction in volumetric imaging analysis
title The power-proportion method for intracranial volume correction in volumetric imaging analysis
title_full The power-proportion method for intracranial volume correction in volumetric imaging analysis
title_fullStr The power-proportion method for intracranial volume correction in volumetric imaging analysis
title_full_unstemmed The power-proportion method for intracranial volume correction in volumetric imaging analysis
title_short The power-proportion method for intracranial volume correction in volumetric imaging analysis
title_sort power-proportion method for intracranial volume correction in volumetric imaging analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222222/
https://www.ncbi.nlm.nih.gov/pubmed/25414635
http://dx.doi.org/10.3389/fnins.2014.00356
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