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Quantifying the local tissue volume and composition in individual brains with MRI
We describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements conf...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855886/ https://www.ncbi.nlm.nih.gov/pubmed/24185694 http://dx.doi.org/10.1038/nm.3390 |
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author | Mezer, Aviv Yeatman, Jason D. Stikov, Nikola Kay, Kendrick N. Cho, Nam–Joon Dougherty, Robert F. Perry, Michael L. Parvizi, Josef Hua, Le H. Butts-Pauly, Kim Wandell, Brian |
author_facet | Mezer, Aviv Yeatman, Jason D. Stikov, Nikola Kay, Kendrick N. Cho, Nam–Joon Dougherty, Robert F. Perry, Michael L. Parvizi, Josef Hua, Le H. Butts-Pauly, Kim Wandell, Brian |
author_sort | Mezer, Aviv |
collection | PubMed |
description | We describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent, quantitative estimate of macromolecular volume can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition. |
format | Online Article Text |
id | pubmed-3855886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-38558862014-06-01 Quantifying the local tissue volume and composition in individual brains with MRI Mezer, Aviv Yeatman, Jason D. Stikov, Nikola Kay, Kendrick N. Cho, Nam–Joon Dougherty, Robert F. Perry, Michael L. Parvizi, Josef Hua, Le H. Butts-Pauly, Kim Wandell, Brian Nat Med Article We describe a quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy. By making measurements over a range of field strengths and scan parameters, we tested the key assumptions and the robustness of the method. The measurements confirm that a consistent, quantitative estimate of macromolecular volume can be obtained across a range of scanners. MTV estimates are sufficiently precise to enable a comparison between data obtained from an individual subject with control population data. We describe two applications. First, we show that MTV estimates can be combined with T1 and diffusion measurements to augment our understanding of the tissue properties. Second we show that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis. The MTV maps are obtained using short clinically appropriate scans that can reveal how tissue changes influence behavior and cognition. 2013-11-03 2013-12 /pmc/articles/PMC3855886/ /pubmed/24185694 http://dx.doi.org/10.1038/nm.3390 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Mezer, Aviv Yeatman, Jason D. Stikov, Nikola Kay, Kendrick N. Cho, Nam–Joon Dougherty, Robert F. Perry, Michael L. Parvizi, Josef Hua, Le H. Butts-Pauly, Kim Wandell, Brian Quantifying the local tissue volume and composition in individual brains with MRI |
title | Quantifying the local tissue volume and composition in individual brains with MRI |
title_full | Quantifying the local tissue volume and composition in individual brains with MRI |
title_fullStr | Quantifying the local tissue volume and composition in individual brains with MRI |
title_full_unstemmed | Quantifying the local tissue volume and composition in individual brains with MRI |
title_short | Quantifying the local tissue volume and composition in individual brains with MRI |
title_sort | quantifying the local tissue volume and composition in individual brains with mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855886/ https://www.ncbi.nlm.nih.gov/pubmed/24185694 http://dx.doi.org/10.1038/nm.3390 |
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