C-Elastography: In Vitro Feasibility Phantom Study

Danial P. Shahraki, Viksit Kumar, Siavash Ghavami, Matthew W. Urban, Azra Alizad, Bojan B. Guzina, Mostafa Fatemi

Research output: Contribution to journalArticlepeer-review

Abstract

C-Elastography (CE) is a new ultrasound technique that locally maps the non-linear elasticity of soft tissue using low-frequency (150–250 Hz) shear waves generated by the acoustic radiation force (ARF). CE is based on a recent finding that the magnitude of the ARF in an isotropic tissue-like solid is related linearly to a third-order modulus of elasticity, C, which is responsible for the coupling between deviatoric and volumetric constitutive behaviors. The main objective of the work described here was to examine the feasibility of using and performance of C-elastography in differentiating and characterizing soft tissue via a pilot study on ex vivo tissue and tissue-mimicking inclusions cast in a gelatin block. In this vein, the CE technique deploys a combination of ultrasound motion sensing and 3-D visco-elastodynamic simulation to estimate the non-linear modulus C. As ultrasound focusing inherently confines the ARF to a small region, CE provides the means for measuring C within O(mm3) volumes. Equipped with such data analysis, we performed in vitro CE experiments on agar-based, xenograft and normal breast tissue samples embedded in a gelatin matrix. The compound C-elastograms indicate marked (and sharp) C-contrast, with average values of 1.9 and 5.6 at push points inside the featured soft and hard inclusions, respectively.

Original languageEnglish (US)
Pages (from-to)1738-1754
Number of pages17
JournalUltrasound in Medicine and Biology
Volume46
Issue number7
DOIs
StatePublished - Jul 2020

Bibliographical note

Funding Information:
This work was supported by National Institutes of Health Grant EB23113. The authors Dr. Matthew Goetz for providing the xenograft breast tumors. The contributions of Dr. Roman Tokmashev during early implementation of C-elastography and the computing resources provided by the University of Minnesota's Supercomputing Institute are kindly acknowledged. Finally, the authors of this article have no conflicts of interest to disclose.

Funding Information:
This work was supported by National Institutes of Health Grant EB23113. The authors Dr. Matthew Goetz for providing the xenograft breast tumors. The contributions of Dr. Roman Tokmashev during early implementation of C-elastography and the computing resources provided by the University of Minnesota's Supercomputing Institute are kindly acknowledged.

Publisher Copyright:
© 2020 World Federation for Ultrasound in Medicine & Biology

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Acoustic radiation force
  • C-Elastography
  • Non-linear elasticity imaging
  • Shear wave
  • Tissue differentiation

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

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