Viscoelastic characterization of dispersive media by inversion of a general wave propagation model in optical coherence elastography

Determining the mechanical properties of tissue such as elasticity and viscosity is fundamental for better understanding and assessment of pathological and physiological processes. Dynamic optical coherence elastography uses shear/surface wave propagation to estimate frequency-dependent wave speed and Young’s modulus. However, for dispersive tissues, the displacement pulse is highly damped and distorted during propagation, diminishing the effectiveness of peak tracking approaches. The majority of methods used to determine mechanical properties assume a rheological model of tissue for the calculation of viscoelastic parameters. Further, plane wave propagation is sometimes assumed which contributes to estimation errors. To overcome these limitations, we invert a general wave propagation model which incorporates (1) the initial force shape of the excitation pulse in the space-time field, (2) wave speed dispersion, (3) wave attenuation caused by the material properties of the sample, (4) wave spreading caused by the outward cylindrical propagation of the wavefronts, and (5) the rheological-independent estimation of the dispersive medium. Experiments were conducted in elastic and viscous tissue-mimicking phantoms by producing a Gaussian push using acoustic radiation force excitation, and measuring the wave propagation using a swept-source frequency domain optical coherence tomography system. Results confirm the effectiveness of the inversion method in estimating viscoelasticity in both the viscous and elastic phantoms when compared to mechanical measurements. Finally, the viscoelastic characterization of collagen hydrogels was conducted. Preliminary results indicate a relationship between collagen concentration and viscoelastic parameters which is important for tissue engineering applications.

[1]  G. Soulez,et al.  Noninvasive vascular elastography: toward a complementary characterization tool of atherosclerosis in carotid arteries. , 2007, Ultrasound in medicine & biology.

[2]  Diane Dalecki,et al.  Scholte wave generation during single tracking location shear wave elasticity imaging of engineered tissues. , 2015, The Journal of the Acoustical Society of America.

[3]  Z. Werb,et al.  Extracellular matrix degradation and remodeling in development and disease. , 2011, Cold Spring Harbor perspectives in biology.

[4]  Kevin J Parker,et al.  Physical models of tissue in shear fields. , 2014, Ultrasound in medicine & biology.

[5]  Samuel Hybois,et al.  Ultrasound Shear Wave Viscoelastography: Model-Independent Quantification of the Complex Shear Modulus , 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[6]  Kevin J. Parker,et al.  Experimental classification of surface waves in optical coherence elastography , 2016, SPIE BiOS.

[7]  E. Messing,et al.  Quantitative characterization of viscoelastic properties of human prostate correlated with histology. , 2008, Ultrasound in medicine & biology.

[8]  Steven G. Adie,et al.  Model-independent quantification of soft tissue viscoelasticity with dynamic optical coherence elastography , 2017, BiOS.

[9]  Cynthia A. Reinhart-King,et al.  Tuning three-dimensional collagen matrix stiffness independently of collagen concentration modulates endothelial cell behavior. , 2013, Acta biomaterialia.

[10]  J. J. Moré,et al.  Levenberg--Marquardt algorithm: implementation and theory , 1977 .

[11]  Kevin J Parker,et al.  The Gaussian shear wave in a dispersive medium. , 2014, Ultrasound in medicine & biology.

[12]  Xiaoming Zhang,et al.  Identification of the Rayleigh surface waves for estimation of viscoelasticity using the surface wave elastography technique. , 2016, The Journal of the Acoustical Society of America.

[13]  Angelika Unterhuber,et al.  Optical coherence tomography today: speed, contrast, and multimodality , 2014, Journal of biomedical optics.

[14]  T. Loupas,et al.  Experimental evaluation of velocity and power estimation for ultrasound blood flow imaging, by means of a two-dimensional autocorrelation approach , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[15]  Panomsak Meemon,et al.  Angular scan optical coherence tomography imaging and metrology of spherical gradient refractive index preforms. , 2015, Optics express.

[16]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

[17]  Jason A Inzana,et al.  3D printing of composite calcium phosphate and collagen scaffolds for bone regeneration. , 2014, Biomaterials.

[18]  Guy Cloutier,et al.  Ultrasound dynamic micro-elastography applied to the viscoelastic characterization of soft tissues and arterial walls. , 2010, Ultrasound in medicine & biology.

[19]  Jannick P. Rolland,et al.  Doppler imaging with dual-detection full-range frequency domain optical coherence tomography , 2010, Biomedical optics express.

[20]  Robert A. Brown,et al.  Guiding cell migration in 3D: a collagen matrix with graded directional stiffness. , 2009, Cell motility and the cytoskeleton.

[21]  Steven G. Adie,et al.  Emerging Approaches for High-Resolution Imaging of Tissue Biomechanics With Optical Coherence Elastography , 2016, IEEE Journal of Selected Topics in Quantum Electronics.

[22]  Natalie Baddour,et al.  Multidimensional wave field signal theory: Mathematical foundations , 2011 .

[23]  D. Sampson,et al.  Parametric imaging of viscoelasticity using optical coherence elastography. , 2015, Physics in medicine and biology.

[24]  Kevin J Parker,et al.  Comparative study of shear wave-based elastography techniques in optical coherence tomography , 2017, Journal of biomedical optics.

[25]  V. Vilgrain,et al.  MR elastography of liver tumours: value of viscoelastic properties for tumour characterisation , 2012, European Radiology.

[26]  I. A. Viktorov Rayleigh and Lamb Waves , 1967 .

[27]  D. Rubens,et al.  Imaging the elastic properties of tissue: the 20 year perspective , 2011, Physics in medicine and biology.

[28]  Amy L Lerner,et al.  Fibronectin matrix polymerization increases tensile strength of model tissue. , 2004, American journal of physiology. Heart and circulatory physiology.

[29]  J. Rolland,et al.  An approach to viscoelastic characterization of dispersive media by inversion of a general wave propagation model , 2017 .

[30]  D. Sampson,et al.  Optical coherence elastography - OCT at work in tissue biomechanics [Invited]. , 2017, Biomedical optics express.

[31]  K. Larin,et al.  Optical coherence elastography assessment of corneal viscoelasticity with a modified Rayleigh-Lamb wave model. , 2017, Journal of the mechanical behavior of biomedical materials.

[32]  François Berthod,et al.  Collagen-Based Biomaterials for Tissue Engineering Applications , 2010, Materials.

[33]  Bo Qiang,et al.  Attenuation measuring ultrasound shearwave elastography and in vivo application in post-transplant liver patients , 2017, Physics in medicine and biology.

[34]  Jing Guo,et al.  High-Resolution Mechanical Imaging of Glioblastoma by Multifrequency Magnetic Resonance Elastography , 2014, PloS one.

[35]  K. Larin,et al.  Quantifying tissue viscoelasticity using optical coherence elastography and the Rayleigh wave model. , 2016, Journal of biomedical optics.