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A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps
Similarly to human population imaging, there are several well-founded motivations for animal population imaging, the most notable being the improvement of the validity of statistical results by pooling a sufficient number of animal data provided by different imaging centers. In this paper, we demons...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248563/ https://www.ncbi.nlm.nih.gov/pubmed/32508614 http://dx.doi.org/10.3389/fninf.2020.00022 |
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author | Deruelle, Tristan Kober, Frank Perles-Barbacaru, Adriana Delzescaux, Thierry Noblet, Vincent Barbier, Emmanuel L. Dojat, Michel |
author_facet | Deruelle, Tristan Kober, Frank Perles-Barbacaru, Adriana Delzescaux, Thierry Noblet, Vincent Barbier, Emmanuel L. Dojat, Michel |
author_sort | Deruelle, Tristan |
collection | PubMed |
description | Similarly to human population imaging, there are several well-founded motivations for animal population imaging, the most notable being the improvement of the validity of statistical results by pooling a sufficient number of animal data provided by different imaging centers. In this paper, we demonstrate the feasibility of such a multicenter animal study, sharing raw data from forty rats and processing pipelines between four imaging centers. As specific use case, we focused on T1 and T2 mapping of the healthy rat brain at 7T. We quantitatively report about the variability observed across two MR data providers and evaluate the influence of image processing steps on the final maps, using three fitting algorithms from three centers. Finally, to derive relaxation times from different brain areas, two multi-atlas segmentation pipelines from different centers were performed on two different platforms. Differences between the two data providers were 2.21% for T1 and 9.52% for T2. Differences between processing pipelines were 1.04% for T1 and 3.33% for T2. These maps, obtained in healthy conditions, may be used in the future as reference when exploring alterations in animal models of pathology. |
format | Online Article Text |
id | pubmed-7248563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72485632020-06-05 A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps Deruelle, Tristan Kober, Frank Perles-Barbacaru, Adriana Delzescaux, Thierry Noblet, Vincent Barbier, Emmanuel L. Dojat, Michel Front Neuroinform Neuroscience Similarly to human population imaging, there are several well-founded motivations for animal population imaging, the most notable being the improvement of the validity of statistical results by pooling a sufficient number of animal data provided by different imaging centers. In this paper, we demonstrate the feasibility of such a multicenter animal study, sharing raw data from forty rats and processing pipelines between four imaging centers. As specific use case, we focused on T1 and T2 mapping of the healthy rat brain at 7T. We quantitatively report about the variability observed across two MR data providers and evaluate the influence of image processing steps on the final maps, using three fitting algorithms from three centers. Finally, to derive relaxation times from different brain areas, two multi-atlas segmentation pipelines from different centers were performed on two different platforms. Differences between the two data providers were 2.21% for T1 and 9.52% for T2. Differences between processing pipelines were 1.04% for T1 and 3.33% for T2. These maps, obtained in healthy conditions, may be used in the future as reference when exploring alterations in animal models of pathology. Frontiers Media S.A. 2020-05-19 /pmc/articles/PMC7248563/ /pubmed/32508614 http://dx.doi.org/10.3389/fninf.2020.00022 Text en Copyright © 2020 Deruelle, Kober, Perles-Barbacaru, Delzescaux, Noblet, Barbier and Dojat. 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) and the copyright owner(s) 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 Deruelle, Tristan Kober, Frank Perles-Barbacaru, Adriana Delzescaux, Thierry Noblet, Vincent Barbier, Emmanuel L. Dojat, Michel A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps |
title | A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps |
title_full | A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps |
title_fullStr | A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps |
title_full_unstemmed | A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps |
title_short | A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps |
title_sort | multicenter preclinical mri study: definition of rat brain relaxometry reference maps |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248563/ https://www.ncbi.nlm.nih.gov/pubmed/32508614 http://dx.doi.org/10.3389/fninf.2020.00022 |
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