A complex elastographic hyperbolic solver (CEHS) to recover frequency dependent complex shear moduli in viscoelastic models utilizing one or more displacement data-sets. Issue 8 (3rd August 2018)

• Record Type: Journal Article
• Authors: Lin, Kui; McLaughlin, Joyce; Baer, Ashley; Hazard, Christopher; Thomenius, Kai; Hah, Zaegyoo; Parker, Kevin; Rubens, Deborah J.
• Is Part Of: Inverse problems in science and engineering. Volume 26:Issue 8(2018)
• Page Start: 1155
• Page End: 1177
• Publication Date: 2018-08-03
• Subjects: Complex -- shear moduli -- viscoelastic -- elastography -- inverse; 65M06 -- 65M32; Engineering mathematics -- Periodicals; Inverse problems (Differential equations) -- Periodicals; 620.001515357
• DOI: 10.1080/17415977.2017.1386186
• Languages: English
• ISSNs: 1741-5977

Abstract

Abstract: In this paper, we present a linear marching scheme to recover frequency-dependent complex shear moduli in viscoelastic models utilizing two sets of single component displacement data. The proposed method is designed to provide stable and accurate estimation of the tissue viscoelastic stiffness parameters by solving a first-order complex partial differential equation. To control the exponential growth of the numerical error resulting from one of the complex coefficients in the inverse equation, a modified upwind discretization is utilized on the first-order derivative terms of the target parameter. The algorithm is fully stablized when: (1) carefully chosen multiple data-sets are combined to eliminate the remaining complex coefficient that contributes to exponential error growth; and (2) a modified Tikhonov regularization is applied to the inversion method. We obtain the stability result in the l 2 norm so that the numerical scheme is convergent at fractional 1 / 2 order. Its performance is compared with the performance of the Algebraic Inversion Model previously investigated. We present shear modulus reconstructions from synthetic data, from laboratory phantom data and match frequency-dependent complex moduli from phantom data to several viscoelastic models. Since we have previously presented phase wave speed images from interference patterns, we exhibit those images here for comparison.