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Towards an Elastographic Atlas of Brain Anatomy
Cerebral viscoelastic constants can be measured in a noninvasive, image-based way by magnetic resonance elastography (MRE) for the detection of neurological disorders. However, MRE brain maps of viscoelastic constants are still limited by low spatial resolution. Here we introduce three-dimensional m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3743755/ https://www.ncbi.nlm.nih.gov/pubmed/23977148 http://dx.doi.org/10.1371/journal.pone.0071807 |
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author | Guo, Jing Hirsch, Sebastian Fehlner, Andreas Papazoglou, Sebastian Scheel, Michael Braun, Juergen Sack, Ingolf |
author_facet | Guo, Jing Hirsch, Sebastian Fehlner, Andreas Papazoglou, Sebastian Scheel, Michael Braun, Juergen Sack, Ingolf |
author_sort | Guo, Jing |
collection | PubMed |
description | Cerebral viscoelastic constants can be measured in a noninvasive, image-based way by magnetic resonance elastography (MRE) for the detection of neurological disorders. However, MRE brain maps of viscoelastic constants are still limited by low spatial resolution. Here we introduce three-dimensional multifrequency MRE of the brain combined with a novel reconstruction algorithm based on a model-free multifrequency inversion for calculating spatially resolved viscoelastic parameter maps of the human brain corresponding to the dynamic range of shear oscillations between 30 and 60 Hz. Maps of two viscoelastic parameters, the magnitude and the phase angle of the complex shear modulus, |G*| and φ, were obtained and normalized to group templates of 23 healthy volunteers in the age range of 22 to 72 years. This atlas of the anatomy of brain mechanics reveals a significant contrast in the stiffness parameter |G*| between different anatomical regions such as white matter (WM; 1.252±0.260 kPa), the corpus callosum genu (CCG; 1.104±0.280 kPa), the thalamus (TH; 1.058±0.208 kPa) and the head of the caudate nucleus (HCN; 0.649±0.101 kPa). φ, which is sensitive to the lossy behavior of the tissue, was in the order of CCG (1.011±0.172), TH (1.037±0.173), CN (0.906±0.257) and WM (0.854±0.169). The proposed method provides the first normalized maps of brain viscoelasticity with anatomical details in subcortical regions and provides useful background data for clinical applications of cerebral MRE. |
format | Online Article Text |
id | pubmed-3743755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37437552013-08-23 Towards an Elastographic Atlas of Brain Anatomy Guo, Jing Hirsch, Sebastian Fehlner, Andreas Papazoglou, Sebastian Scheel, Michael Braun, Juergen Sack, Ingolf PLoS One Research Article Cerebral viscoelastic constants can be measured in a noninvasive, image-based way by magnetic resonance elastography (MRE) for the detection of neurological disorders. However, MRE brain maps of viscoelastic constants are still limited by low spatial resolution. Here we introduce three-dimensional multifrequency MRE of the brain combined with a novel reconstruction algorithm based on a model-free multifrequency inversion for calculating spatially resolved viscoelastic parameter maps of the human brain corresponding to the dynamic range of shear oscillations between 30 and 60 Hz. Maps of two viscoelastic parameters, the magnitude and the phase angle of the complex shear modulus, |G*| and φ, were obtained and normalized to group templates of 23 healthy volunteers in the age range of 22 to 72 years. This atlas of the anatomy of brain mechanics reveals a significant contrast in the stiffness parameter |G*| between different anatomical regions such as white matter (WM; 1.252±0.260 kPa), the corpus callosum genu (CCG; 1.104±0.280 kPa), the thalamus (TH; 1.058±0.208 kPa) and the head of the caudate nucleus (HCN; 0.649±0.101 kPa). φ, which is sensitive to the lossy behavior of the tissue, was in the order of CCG (1.011±0.172), TH (1.037±0.173), CN (0.906±0.257) and WM (0.854±0.169). The proposed method provides the first normalized maps of brain viscoelasticity with anatomical details in subcortical regions and provides useful background data for clinical applications of cerebral MRE. Public Library of Science 2013-08-14 /pmc/articles/PMC3743755/ /pubmed/23977148 http://dx.doi.org/10.1371/journal.pone.0071807 Text en © 2013 Guo 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 Guo, Jing Hirsch, Sebastian Fehlner, Andreas Papazoglou, Sebastian Scheel, Michael Braun, Juergen Sack, Ingolf Towards an Elastographic Atlas of Brain Anatomy |
title | Towards an Elastographic Atlas of Brain Anatomy |
title_full | Towards an Elastographic Atlas of Brain Anatomy |
title_fullStr | Towards an Elastographic Atlas of Brain Anatomy |
title_full_unstemmed | Towards an Elastographic Atlas of Brain Anatomy |
title_short | Towards an Elastographic Atlas of Brain Anatomy |
title_sort | towards an elastographic atlas of brain anatomy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3743755/ https://www.ncbi.nlm.nih.gov/pubmed/23977148 http://dx.doi.org/10.1371/journal.pone.0071807 |
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