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Observation of direction-dependent mechanical properties in the human brain with multi-excitation MR elastography.
Anderson, Aaron T; Van Houten, Elijah E W; McGarry, Matthew D J; Paulsen, Keith D; Holtrop, Joseph L; Sutton, Bradley P; Georgiadis, John G; Johnson, Curtis L.
Afiliación
  • Anderson AT; Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. Electronic address: aandrsn3@illinois.edu.
  • Van Houten EEW; Département de génie mécanique, Université de Sherbrooke, Sherbrooke, Québec, Canada J1K2R1; Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA. Electronic address: eew.vanhouten@usherbrooke.ca.
  • McGarry MDJ; Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA. Electronic address: matthew.d.mcgarry@dartmouth.edu.
  • Paulsen KD; Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA; Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire 03756, USA. Electronic address: keith.d.paulsen@dartmouth.edu.
  • Holtrop JL; Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. Electronic address: holtrop1@illinois.edu.
  • Sutton BP; Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. Electronic address: bsutton@illinois.edu.
  • Georgiadis JG; Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA; Biomedical Engineering Department, Illinois Institute of Technology, Chicago, Illinois 60616, USA. Electronic address: jgeorgia@iit.edu.
  • Johnson CL; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA; Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716, USA. Electronic address: clj@udel.edu.
J Mech Behav Biomed Mater ; 59: 538-546, 2016 06.
Article en En | MEDLINE | ID: mdl-27032311
ABSTRACT
Magnetic resonance elastography (MRE) has shown promise in noninvasively capturing changes in mechanical properties of the human brain caused by neurodegenerative conditions. MRE involves vibrating the brain to generate shear waves, imaging those waves with MRI, and solving an inverse problem to determine mechanical properties. Despite the known anisotropic nature of brain tissue, the inverse problem in brain MRE is based on an isotropic mechanical model. In this study, distinct wave patterns are generated in the brain through the use of multiple excitation directions in order to characterize the potential impact of anisotropic tissue mechanics on isotropic inversion methods. Isotropic inversions of two unique displacement fields result in mechanical property maps that vary locally in areas of highly aligned white matter. Investigation of the corpus callosum, corona radiata, and superior longitudinal fasciculus, three highly ordered white matter tracts, revealed differences in estimated properties between excitations of up to 33%. Using diffusion tensor imaging to identify dominant fiber orientation of bundles, relationships between estimated isotropic properties and shear asymmetry are revealed. This study has implications for future isotropic and anisotropic MRE studies of white matter tracts in the human brain.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Anisotropía / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Mech Behav Biomed Mater Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Anisotropía / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Mech Behav Biomed Mater Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2016 Tipo del documento: Article
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