@article{NeidhardtOhlsenHoffmannSchlaefer+2021+35+38,
Author = {M. Neidhardt and J. Ohlsen and N. Hoffmann and A. Schlaefer},
Title = {Parameter Identification for Ultrasound Shear Wave Elastography Simulation:.},
Journal = {<em>Current Directions in Biomedical Engineering</em>.},
Year = {(2021).},
Volume = {<strong>7</strong>.},
Number = {(1),},
Pages = {35-38},
Doi = {doi:10.1515/cdbme-2021-1008},
Url = {https://doi.org/10.1515/cdbme-2021-1008},
Abstract = {Elasticity of soft tissue is a valuable information to physicians in treatment and diagnosis of diseases. The elastic properties  of  tissue  can  be  estimated  with  ultrasound  (US) shear  wave  imaging  (SWEI).  In  US-SWEI,  a  force  push  is applied  inside  the  tissue  and  the  resulting  shear  wave  is detected  by  high-frequency  imaging.  The  properties  of  the wave such as the shear wave velocity can be mapped to tissue elasticity. Commonly, wave features are extracted by tracking the  peak  of  the  shear  wave,  estimating  the  phase  velocity  or with  machine  learning  methods.  To  tune  and  test  these methods,  often  simulation  data  is  employed  since  material properties   and   excitation   can   be   accurately   controlled. Subsequent validation on real US-SWEI data is in many cases performed  on  tissue  phantoms  such  as  gelatine.  Clearly, validation  performance  of  these  procedures  is  dependent  on the accuracy of the simulated tissue phantom and a thorough comparison of simulation and experimental data is needed. In this work, we estimate wave  parameters from 400 US-SWEI data sets acquired in various homogeneous gelatine phantoms. We tune a linear material model to these parameters. We report an  absolute  percentage  error  for  the  shear  wave  velocity between  simulation  and  phantom  experiment  of  <2.5%.  We validate    our    material    model    on    unknown    gelatine concentrations  and  estimate  the  shear  wave  velocity  with  an error  <3.4%  for  in-range  concentrations  indicating  that  our material   model   is   in   good   agreement   with   US-SWEI measurements}
}

@COMMENT{Bibtex file generated on 2026-5-17 with typo3 si_bibtex plugin. Data from https://www.tuhh.de/mtec/publications/2024-2020 }