Sebastian Merino presents paper at IUS 2021

Date: 2 September, 2021

Sebastian Merino presents paper at IUS 2021

Elastography is an imaging modality that provides quantitative stiffness information based on ultrasound. In Crawling Wave Sonoelastography, two external vibration sources generate moving interference patterns on a tissue and a Shear Wave Speed (SWS) distribution map is generated to assess stiffness. Several SWS estimators which use the moving pattern as input data are found in the literature; however, many of them report the presence of artifacts. For this reason, a new algorithm based on the estimation of the local spatial frequency using Short-Time Fourier Transform is proposed. In this paper, the feasibility of the new method is assessed with experiments on a heterogeneous phantom and compared with another estimator. The proposed algorithm generated a SWS image with lower coefficient of variance and higher contrast-to-noise ratio, which allows better discrimination between regions. In addition, time independence of the algorithm may be advantageous for clinical applications.

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