Sebastian Merino presents paper at IUS 2021
Date: 2 September, 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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