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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Published inPloS one Vol. 8; no. 8; p. e71807
Main Authors Guo, Jing, Hirsch, Sebastian, Fehlner, Andreas, Papazoglou, Sebastian, Scheel, Michael, Braun, Juergen, Sack, Ingolf
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 14.08.2013
Public Library of Science (PLoS)
Subjects
Adult
Aged
Alzheimer's disease
Alzheimers disease
Anatomy
Biology
Brain
Brain - physiology
Brain mapping
Brain Mapping - methods
Caudate nucleus
Corpus callosum
Elasticity Imaging Techniques - methods
Female
Fractals
Head
Healthy Volunteers
Humans
Image detection
Magnetic resonance
Magnetic Resonance Imaging
Male
Mathematics
Medicine
Middle Aged
Multiple sclerosis
Nervous system diseases
Neurological diseases
NMR
Nuclear magnetic resonance
Oscillations
Shear modulus
Spatial discrimination
Spatial resolution
Stiffness
Substantia alba
Thalamus
Therapeutic applications
Viscoelasticity
Young Adult
Online AccessGet full text

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Abstract 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.
AbstractList 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.
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.
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.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.
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 [phi], 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). [phi], 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.
Audience Academic
Author Fehlner, Andreas
Hirsch, Sebastian
Braun, Juergen
Scheel, Michael
Papazoglou, Sebastian
Sack, Ingolf
Guo, Jing
AuthorAffiliation 1 Department of Radiology, Charité – Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
2 Institute of Medical Informatics, Charité, Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
Rensselaer Polytechnic Institute, United States of America
AuthorAffiliation_xml – name: Rensselaer Polytechnic Institute, United States of America
– name: 1 Department of Radiology, Charité – Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
– name: 2 Institute of Medical Informatics, Charité, Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
Author_xml – sequence: 1
  givenname: Jing
  surname: Guo
  fullname: Guo, Jing
– sequence: 2
  givenname: Sebastian
  surname: Hirsch
  fullname: Hirsch, Sebastian
– sequence: 3
  givenname: Andreas
  surname: Fehlner
  fullname: Fehlner, Andreas
– sequence: 4
  givenname: Sebastian
  surname: Papazoglou
  fullname: Papazoglou, Sebastian
– sequence: 5
  givenname: Michael
  surname: Scheel
  fullname: Scheel, Michael
– sequence: 6
  givenname: Juergen
  surname: Braun
  fullname: Braun, Juergen
– sequence: 7
  givenname: Ingolf
  surname: Sack
  fullname: Sack, Ingolf
BackLink https://www.ncbi.nlm.nih.gov/pubmed/23977148$$D View this record in MEDLINE/PubMed
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Mathematics
DocumentTitleAlternate Towards an Elastographic Atlas of Brain Anatomy
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Conceived and designed the experiments: JG SH SP MS JB IS. Performed the experiments: JG SH MS IS. Analyzed the data: JG SH AF SP IS. Contributed reagents/materials/analysis tools: JG SH AF SP MS IS. Wrote the paper: JG IS.
Competing Interests: The authors have declared that no competing interests exist.
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Snippet Cerebral viscoelastic constants can be measured in a noninvasive, image-based way by magnetic resonance elastography (MRE) for the detection of neurological...
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StartPage e71807
SubjectTerms Adult
Aged
Alzheimer's disease
Alzheimers disease
Anatomy
Biology
Brain
Brain - physiology
Brain mapping
Brain Mapping - methods
Caudate nucleus
Corpus callosum
Elasticity Imaging Techniques - methods
Female
Fractals
Head
Healthy Volunteers
Humans
Image detection
Magnetic resonance
Magnetic Resonance Imaging
Male
Mathematics
Medicine
Middle Aged
Multiple sclerosis
Nervous system diseases
Neurological diseases
NMR
Nuclear magnetic resonance
Oscillations
Shear modulus
Spatial discrimination
Spatial resolution
Stiffness
Substantia alba
Thalamus
Therapeutic applications
Viscoelasticity
Young Adult
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Title Towards an Elastographic Atlas of Brain Anatomy
URI https://www.ncbi.nlm.nih.gov/pubmed/23977148
https://www.proquest.com/docview/1420689168
https://www.proquest.com/docview/1428270996
https://pubmed.ncbi.nlm.nih.gov/PMC3743755
https://doaj.org/article/371281009c9441b5b5d6f1bd34a7aa20
http://dx.doi.org/10.1371/journal.pone.0071807
Volume 8
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