Comprehensive experimental assessments of rheological models' performance in elastography of soft tissues.
Comprehensive experimental assessments of rheological models' performance in elastography of soft tissues.
复制标题
软组织弹性成像中流变模型性能的综合实验评估。
DOI:
10.1016/j.actbio.2022.04.047
复制
发表时间:
2022-07-01
影响因子:
9.7
通讯作者:
Parker, Kevin J.
中科院分区:
文献类型:
--
作者:
Poul, Sedigheh S.;Ormachea, Juvenal;Ge, Gary R.;Parker, Kevin J.
关键词:
Elastography researchers have utilized several rheological models to characterize soft tissue viscoelasticity over the past thirty years. Due to the frequency-dependent behavior of viscoelastic parameters as well as the different techniques and frequencies employed in various studies of soft tissues, rheological models have value in standardizing disparate techniques via explicit mathematical representations. However, the important question remains: which of the several available models should be considered for widespread adoption within a theoretical framework? We address this by evaluating the performance of three well established rheological models to characterize ex vivo bovine liver tissues: the Kelvin-Voigt (KV) model as a 2-parameter model, the standard linear solid (SLS) and the Kelvin-Voigt fractional derivative (KVFD) models as 3-parameter models. The assessments were based on the analysis of time domain behavior (using stress relaxation tests) and frequency domain behavior (by measuring shear wave speed (SWS) dispersion). SWS was measured over a wide range of frequency from 1 Hz to 1 kHz using three different tests: (i) harmonic shear tests using a rheometer, (ii) reverberant shear wave (RSW) ultrasound elastography scans, and (iii) RSW optical coherence elastography scans, with each test targeting a distinct frequency range. Our results demonstrated that the KVFD model produces the only mutually consistent rendering of time and frequency domains data for liver. Furthermore, it reduces to a 2-parameter model for liver (correspondingly to a 2-parameter “spring-pot” or power-law model for SWS dispersion) and provides the most accurate predictions of the material viscoelastic behavior in time (>98% accuracy) and frequency (>96% accuracy) domains.
登录
查看更多内容
DOI:
10.1016/j.jmbbm.2019.07.010
发表时间:
2019-11-01
影响因子:
3.9
作者:
Arnabili, Marco;Balasubramanian, Prabakaran;Breslaysky, Ivan
通讯作者:
Breslaysky, Ivan
DOI:
10.1109/tuffc.2016.2634329
发表时间:
2017-03-01
影响因子:
3.6
作者:
Bernard, Simon;Kazemirad, Siavash;Cloutier, Guy
通讯作者:
Cloutier, Guy
影响因子:
19.7
作者:
Barr, Richard G.;Ferraioli, Giovanna;Levine, Deborah
通讯作者:
Levine, Deborah
DOI:
10.1016/j.ijsolstr.2015.04.018
发表时间:
2015-08-15
影响因子:
3.6
作者:
Jalocha, D.;Constantinescu, A.;Neviere, R.
通讯作者:
Neviere, R.
DOI:
10.1109/58.393111
发表时间:
1995-07-01
影响因子:
3.6
作者:
LOUPAS, T;PETERSON, RB;GILL, RW
通讯作者:
GILL, RW