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Full waveform inversion for arterial viscoelasticity.
Roy, Tuhin; Guddati, Murthy N.
Afiliación
  • Roy T; North Carolina State University, Raleigh, NC, United States of America.
  • Guddati MN; North Carolina State University, Raleigh, NC, United States of America.
Phys Med Biol ; 68(5)2023 02 23.
Article en En | MEDLINE | ID: mdl-36753775
Objective. Arterial viscosity is emerging as an important biomarker, in addition to the widely used arterial elasticity. This paper presents an approach to estimate arterial viscoelasticity using shear wave elastography (SWE).Approach. While dispersion characteristics are often used to estimate elasticity from SWE data, they are not sufficiently sensitive to viscosity. Driven by this, we develop a full waveform inversion (FWI) methodology, based on directly matching predicted and measured wall velocity in space and time, to simultaneously estimate both elasticity and viscosity. Specifically, we propose to minimize an objective function capturing the correlation between measured and predicted responses of the anterior wall of the artery.Results. The objective function is shown to be well-behaving (generally convex), leading us to effectively use gradient optimization to invert for both elasticity and viscosity. The resulting methodology is verified with synthetic data polluted with noise, leading to the conclusion that the proposed FWI is effective in estimating arterial viscoelasticity.Significance. Accurate estimation of arterial viscoelasticity, not just elasticity, provides a more precise characterization of arterial mechanical properties, potentially leading to a better indicator of arterial health.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arterias / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Phys Med Biol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arterias / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Phys Med Biol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido