Title :
Model-based complex shear modulus reconstruction: A Bayesian approach
Author :
Orescanin, Marko ; Insana, Michael F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
A narrow-band ultrasonic shear-wave imaging technique for estimating the complex shear modulus was applied to gelatin phantoms. This Bayesian approach incorporates the spatiotemporal geometry of shear waves radiating from a vibrating needle into a method for estimating modulus parameters. Compared to the phase gradient approach, this Bayesian method provides viscoelastic reconstructions for a single shear wave frequency. Estimates compare closely to results obtained using phase gradient method but with higher spectral resolution. We validated the assumption that the Kelvin-Voigt model, commonly applied in elasticity imaging situations, is representative of gelatin dispersion within the testing bandwidth between 50 and 450 Hz.
Keywords :
Bayes methods; acoustic signal processing; biological tissues; biomechanics; biomedical ultrasonics; gels; medical signal processing; phantoms; shear modulus; viscoelasticity; Bayesian approach; Kelvin-Voigt model; complex shear modulus estimation; frequency 50 Hz to 450 Hz; gelatin phantoms; model based complex shear modulus reconstruction; modulus parameter estimation; narrow band ultrasonic shear wave imaging; phase gradient approach comparison; shear wave frequency; shear wave spatiotemporal geometry; vibrating needle; viscoelastic reconstructions; Frequency estimation; Image reconstruction; Imaging; Materials; Mathematical model; Needles; Spatiotemporal phenomena;
Conference_Titel :
Ultrasonics Symposium (IUS), 2010 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-0382-9
DOI :
10.1109/ULTSYM.2010.5935671