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Multi-Excitation Magnetic Resonance Elastography of the Brain: Wave Propagation in Anisotropic White Matter.
Smith, Daniel R; Guertler, Charlotte A; Okamoto, Ruth J; Romano, Anthony J; Bayly, Philip V; Johnson, Curtis L.
Afiliación
  • Smith DR; Department of Biomedical Engineering, University of Delaware, Newark, DE 19716.
  • Guertler CA; Department of Mechanical Engineering and Material Science, Washington University, St. Louis, MO 63130.
  • Okamoto RJ; Department of Mechanical Engineering and Material Science, Washington University, St. Louis, MO 63130.
  • Romano AJ; Naval Research Laboratory, Code 7160, Washington, DC 20375.
  • Bayly PV; Department of Mechanical Engineering and Material Science, Washington University, St. Louis, MO 63130.
  • Johnson CL; Department of Biomedical Engineering, University of Delaware, Newark, DE 19716.
J Biomech Eng ; 142(7)2020 07 01.
Article en En | MEDLINE | ID: mdl-32006012
ABSTRACT
Magnetic resonance elastography (MRE) has emerged as a sensitive imaging technique capable of providing a quantitative understanding of neural microstructural integrity. However, a reliable method for the quantification of the anisotropic mechanical properties of human white matter is currently lacking, despite the potential to illuminate the pathophysiology behind neurological disorders and traumatic brain injury. In this study, we examine the use of multiple excitations in MRE to generate wave displacement data sufficient for anisotropic inversion in white matter. We show the presence of multiple unique waves from each excitation which we combine to solve for parameters of an incompressible, transversely isotropic (ITI)

material:

shear modulus, µ, shear anisotropy, ϕ, and tensile anisotropy, ζ. We calculate these anisotropic parameters in the corpus callosum body and find the mean values as µ = 3.78 kPa, ϕ = 0.151, and ζ = 0.099 (at 50 Hz vibration frequency). This study demonstrates that multi-excitation MRE provides displacement data sufficient for the evaluation of the anisotropic properties of white matter.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Biomech Eng Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Biomech Eng Año: 2020 Tipo del documento: Article
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