[HTML][HTML] Effect of residual and transformation choice on computational aspects of biomechanical parameter estimation of soft tissues
A Aggarwal - Bioengineering, 2019 - mdpi.com
… of parameter estimation techniques on the resulting properties for four multi-parameter … It
was found that linear transformations have no effect on parameter estimation for the presented …
was found that linear transformations have no effect on parameter estimation for the presented …
Parameter estimation for nonlinear frequency dependent attenuation in soft tissue
P He, A McGoron - Ultrasound in medicine & biology, 1989 - Elsevier
… or estimated which characterize the tissue. For most soft tissues, it is commonly assumed that
… Acoustic attenuation estimation for soft tissue from ultrasound echo envelope peaks. IEEE …
… Acoustic attenuation estimation for soft tissue from ultrasound echo envelope peaks. IEEE …
An optimal parameter estimation method for soft tissue characterization
Y Madjidi, Y Zhong, B Shirinzadeh… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
… to the QLV constitutive equation for obtaining soft tissue parameters in a time-saving …
estimate soft tissue parameters and satisfy the time-saving requirement of intraoperative soft tissue …
estimate soft tissue parameters and satisfy the time-saving requirement of intraoperative soft tissue …
A dynamic material parameter estimation procedure for soft tissue using a poroelastic finite element model
JP Laible, D Pflaster, BR Simon, MH Krag, M Pope… - 1994 - asmedigitalcollection.asme.org
… parameter estimation method for the purpose of assessing material properties based on
intradiscal displacement and reactive forces. Parameter … and the parameter estimation process. …
intradiscal displacement and reactive forces. Parameter … and the parameter estimation process. …
Parametric Skeletons with Reduced Soft‐Tissue Deformations
… augment parametric skeletal models with subspace soft-tissue … We demonstrate the application
of our method to parametric … observations, due to the complexity of parameter estimation. …
of our method to parametric … observations, due to the complexity of parameter estimation. …
[HTML][HTML] Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters
… ) sufficiently many times for the parameter space to be properly … Carlo estimator, we can
reduce the variance of the estimator. … to the Monte Carlo estimator. The sensitivity derivatives are …
reduce the variance of the estimator. … to the Monte Carlo estimator. The sensitivity derivatives are …
Inverse finite element characterization of soft tissues
M Kauer, V Vuskovic, J Dual, G Székely, M Bajka - Medical image analysis, 2002 - Elsevier
… the material model parameters in an inverse parameter determination process. An optimal
… is sought with the parameter estimation algorithm. Soft biological tissue is modelled as a …
… is sought with the parameter estimation algorithm. Soft biological tissue is modelled as a …
Maximum likelihood-based extended Kalman filter for soft tissue modelling
… soft tissue characterisation in the process of soft tissue modelling to increase the modelling
fidelity. This method defines nonlinear tissue … efficacy of material parameter estimation; and (ii…
fidelity. This method defines nonlinear tissue … efficacy of material parameter estimation; and (ii…
Computer-aided parametric prosthetic socket design based on real-time soft tissue deformation and an inverse approach
A Ballit, I Mougharbel, H Ghaziri, TT Dao - The Visual Computer, 2022 - Springer
… To provide an efficient approach, a novel approach was proposed to estimate the soft tissue
… This model was integrated into our parametric workflow and provides real-time soft tissue …
… This model was integrated into our parametric workflow and provides real-time soft tissue …
[HTML][HTML] A multiparametric volumetric quantitative ultrasound imaging technique for soft tissue characterization
… in QUS parameter estimation can be optimized by choosing a suitable regularization parameter
set … However, for the 3D QUS, the optimum ranges for regularization parameter coincide, …
set … However, for the 3D QUS, the optimum ranges for regularization parameter coincide, …
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