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Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls
Iron levels in the brain can be estimated using newly developed specific magnetic resonance imaging (MRI) sequences. This technique has several applications, especially in neurodegenerative disorders like Alzheimer's disease or Parkinson's disease. Coupling ex vivo MRI with histology allow...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616088/ https://www.ncbi.nlm.nih.gov/pubmed/31333421 http://dx.doi.org/10.3389/fnana.2019.00068 |
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author | De Barros, Amaury Arribarat, Germain Combis, Jeanne Chaynes, Patrick Péran, Patrice |
author_facet | De Barros, Amaury Arribarat, Germain Combis, Jeanne Chaynes, Patrick Péran, Patrice |
author_sort | De Barros, Amaury |
collection | PubMed |
description | Iron levels in the brain can be estimated using newly developed specific magnetic resonance imaging (MRI) sequences. This technique has several applications, especially in neurodegenerative disorders like Alzheimer's disease or Parkinson's disease. Coupling ex vivo MRI with histology allows neuroscientists to better understand what they see in the images. Iron is one of the most extensively studied elements, both by MRI and using histological or physical techniques. Researchers were initially only able to make visual comparisons between MRI images and different types of iron staining, but the emergence of specific MRI sequences like R2(*) or quantitative susceptibility mapping meant that quantification became possible, requiring correlations with physical techniques. Today, with advances in MRI and image post-processing, it is possible to look for MRI/histology correlations by matching the two sorts of images. For the result to be acceptable, the choice of methodology is crucial, as there are hidden pitfalls every step of the way. In order to review the advantages and limitations of ex vivo MRI correlation with iron-based histology, we reviewed all the relevant articles dealing with the topic in humans. We provide separate assessments of qualitative and quantitative studies, and after summarizing the significant results, we emphasize all the pitfalls that may be encountered. |
format | Online Article Text |
id | pubmed-6616088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66160882019-07-22 Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls De Barros, Amaury Arribarat, Germain Combis, Jeanne Chaynes, Patrick Péran, Patrice Front Neuroanat Neuroscience Iron levels in the brain can be estimated using newly developed specific magnetic resonance imaging (MRI) sequences. This technique has several applications, especially in neurodegenerative disorders like Alzheimer's disease or Parkinson's disease. Coupling ex vivo MRI with histology allows neuroscientists to better understand what they see in the images. Iron is one of the most extensively studied elements, both by MRI and using histological or physical techniques. Researchers were initially only able to make visual comparisons between MRI images and different types of iron staining, but the emergence of specific MRI sequences like R2(*) or quantitative susceptibility mapping meant that quantification became possible, requiring correlations with physical techniques. Today, with advances in MRI and image post-processing, it is possible to look for MRI/histology correlations by matching the two sorts of images. For the result to be acceptable, the choice of methodology is crucial, as there are hidden pitfalls every step of the way. In order to review the advantages and limitations of ex vivo MRI correlation with iron-based histology, we reviewed all the relevant articles dealing with the topic in humans. We provide separate assessments of qualitative and quantitative studies, and after summarizing the significant results, we emphasize all the pitfalls that may be encountered. Frontiers Media S.A. 2019-07-03 /pmc/articles/PMC6616088/ /pubmed/31333421 http://dx.doi.org/10.3389/fnana.2019.00068 Text en Copyright © 2019 De Barros, Arribarat, Combis, Chaynes and Péran. 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 De Barros, Amaury Arribarat, Germain Combis, Jeanne Chaynes, Patrick Péran, Patrice Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls |
title | Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls |
title_full | Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls |
title_fullStr | Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls |
title_full_unstemmed | Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls |
title_short | Matching ex vivo MRI With Iron Histology: Pearls and Pitfalls |
title_sort | matching ex vivo mri with iron histology: pearls and pitfalls |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616088/ https://www.ncbi.nlm.nih.gov/pubmed/31333421 http://dx.doi.org/10.3389/fnana.2019.00068 |
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