Quantifying tissue viscoelasticity using optical coherence elastography and the Rayleigh wave model

Zhaolong Han, Manmohan Singh, Salavat R. Aglyamov, Chih Hao Liu, Achuth Nair, Raksha Raghunathan, Chen Wu, Jiasong Li, Kirill V. Larin

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

This study demonstrates the feasibility of using the Rayleigh wave model (RWM) in combination with optical coherence elastography (OCE) technique to assess the viscoelasticity of soft tissues. Dispersion curves calculated from the spectral decomposition of OCE-measured air-pulse induced elastic waves were used to quantify the viscoelasticity of samples using the RWM. Validation studies were first conducted on 10% gelatin phantoms with different concentrations of oil. The results showed that the oil increased the viscosity of the gelatin phantom samples. This method was then used to quantify the viscoelasticity of chicken liver. The Young's modulus of the chicken liver tissues was estimated as E=2.04±0.88 kPa with a shear viscosity η=1.20±0.13 Pa s. The analytical solution of the RWM correlated very well with the OCE-measured phased velocities (R2=0.96±0.04). The results show that the combination of the RWM and OCE is a promising method for noninvasively quantifying the biomechanical properties of soft tissues and may be a useful tool for detecting disease.

Original languageEnglish (US)
Article number090504
JournalJournal of Biomedical Optics
Volume21
Issue number9
DOIs
StatePublished - Sep 1 2016

Keywords

  • liver
  • optical coherence elastography
  • Rayleigh wave model
  • viscoelasticity

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Quantifying tissue viscoelasticity using optical coherence elastography and the Rayleigh wave model'. Together they form a unique fingerprint.

Cite this