Poroelasticity as a Model of Soft Tissue Structure: Hydraulic Permeability Reconstruction for Magnetic Resonance Elastography in Silico.

Autor:	Sowinski DR; Thayer School of Engineering, Dartmouth College, Hanover, NH, United States., McGarry MDJ; Thayer School of Engineering, Dartmouth College, Hanover, NH, United States., Van Houten EEW; Département de génie mécanique, Universite de Sherbrooke, Sherbrooke, QC, Canada., Gordon-Wylie S; Thayer School of Engineering, Dartmouth College, Hanover, NH, United States., Weaver JB; Thayer School of Engineering, Dartmouth College, Hanover, NH, United States.; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.; Dartmouth-Hitchcock Medical Center, Department of Radiology, Lebanon, NH, United States., Paulsen KD; Thayer School of Engineering, Dartmouth College, Hanover, NH, United States.; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.; Dartmouth-Hitchcock Medical Center, Center for Surgical Innovation, Lebanon, NH, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in physics [Front Phys] 2021 Jan; Vol. 8. Date of Electronic Publication: 2021 Jan 21.
DOI:	10.3389/fphy.2020.617582
Abstrakt:	Magnetic Resonance Elastography allows noninvasive visualization of tissue mechanical properties by measuring the displacements resulting from applied stresses, and fitting a mechanical model. Poroelasticity naturally lends itself to describing tissue - a biphasic medium, consisting of both solid and fluid components. This article reviews the theory of poroelasticity, and shows that the spatial distribution of hydraulic permeability, the ease with which the solid matrix permits the flow of fluid under a pressure gradient, can be faithfully reconstructed without spatial priors in simulated environments. The paper describes an in-house MRE computational platform - a multi-mesh, finite element poroelastic solver coupled to an artificial epistemic agent capable of running Bayesian inference to reconstruct inhomogenous model mechanical property images from measured displacement fields. Building on prior work, the domain of convergence for inference is explored, showing that hydraulic permeabilities over several orders of magnitude can be reconstructed given very little prior knowledge of the true spatial distribution. Competing Interests: Conflict of Interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu