Parameter Identification for Ultrasound Shear Wave Elastography Simulation
نویسندگان
چکیده
Abstract Elasticity of soft tissue is a valuable information to physicians in treatment and diagnosis diseases. The elastic properties can be estimated with ultrasound (US) shear wave imaging (SWEI). In US-SWEI, force push applied inside the resulting detected by high-frequency imaging. such as velocity mapped elasticity. Commonly, features are extracted tracking peak wave, estimating phase or machine learning methods. To tune test these methods, often simulation data employed since material excitation accurately controlled. Subsequent validation on real US-SWEI many cases performed phantoms gelatine. Clearly, performance procedures dependent accuracy simulated phantom thorough comparison experimental needed. this work, we estimate parameters from 400 sets acquired various homogeneous gelatine phantoms. We linear model parameters. report an absolute percentage error for between experiment <2.5%. validate our unknown concentrations <3.4% in-range indicating that good agreement measurements.
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ژورنال
عنوان ژورنال: Current Directions in Biomedical Engineering
سال: 2021
ISSN: ['2364-5504']
DOI: https://doi.org/10.1515/cdbme-2021-1008