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...

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Autores principales:	Jing Guo, Sebastian Hirsch, Andreas Fehlner, Sebastian Papazoglou, Michael Scheel, Juergen Braun, Ingolf Sack
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/371281009c9441b5b5d6f1bd34a7aa20
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spelling	oai:doaj.org-article:371281009c9441b5b5d6f1bd34a7aa202021-11-18T08:59:33ZTowards an elastographic atlas of brain anatomy.1932-620310.1371/journal.pone.0071807https://doaj.org/article/371281009c9441b5b5d6f1bd34a7aa202013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23977148/?tool=EBIhttps://doaj.org/toc/1932-6203Cerebral 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.Jing GuoSebastian HirschAndreas FehlnerSebastian PapazoglouMichael ScheelJuergen BraunIngolf SackPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e71807 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jing Guo Sebastian Hirsch Andreas Fehlner Sebastian Papazoglou Michael Scheel Juergen Braun Ingolf Sack Towards an elastographic atlas of brain anatomy.
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	article
author	Jing Guo Sebastian Hirsch Andreas Fehlner Sebastian Papazoglou Michael Scheel Juergen Braun Ingolf Sack
author_facet	Jing Guo Sebastian Hirsch Andreas Fehlner Sebastian Papazoglou Michael Scheel Juergen Braun Ingolf Sack
author_sort	Jing Guo
title	Towards an elastographic atlas of brain anatomy.
title_short	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_sort	towards an elastographic atlas of brain anatomy.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/371281009c9441b5b5d6f1bd34a7aa20
work_keys_str_mv	AT jingguo towardsanelastographicatlasofbrainanatomy AT sebastianhirsch towardsanelastographicatlasofbrainanatomy AT andreasfehlner towardsanelastographicatlasofbrainanatomy AT sebastianpapazoglou towardsanelastographicatlasofbrainanatomy AT michaelscheel towardsanelastographicatlasofbrainanatomy AT juergenbraun towardsanelastographicatlasofbrainanatomy AT ingolfsack towardsanelastographicatlasofbrainanatomy
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Towards an elastographic atlas of brain anatomy.

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