3D shear wave imaging of anisotropic mechanical properties of muscle using a 2D matrix array transducer

Author(s):  
Michael H Wang ◽  
Brett C Byram ◽  
Mark L Palmeri ◽  
Ned C Rouze ◽  
Kathryn R Nightingale
2018 ◽  
Vol 37 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Kelly Mônica Marinho e Lima ◽  
José Francisco Silva Costa Júnior ◽  
Wagner Coelho de Albuquerque Pereira ◽  
Liliam Fernandes de Oliveira

2019 ◽  
Author(s):  
Xianghong Luo ◽  
Rong Wu ◽  
Lianfang Du ◽  
Zhaojun Li

Abstract Background Arterial remodeling reflects adaptation of the vessel wall to mechanical and hemodynamic stimuli and contributes to the progression of cardiovascular and cerebrovascular diseases. Tensile stress (TS) is one of the mechanical properties of the artery wall. We sought to investigate the effects of carotid viscoelasticity on its tensile stress (TS) in different age subjects.Methods Forty-five subjects were recruited and divided into the group1 (≥50 years old) and the group2 (<50 years old) according to the median age. The carotid arteries were examined by ultrasonography, including shear wave elastography (SWE), shear wave dispersion (SWD) and radiofrequency (RF) technologies. The values were obtained, including the carotid elastic modulus (SWE R ) and viscous index (SWD R ), as well as the peak and mean TS of the left and right carotid arteries (L-PTS, R-PTS, L-MTS and R-MTS). The correlations between SWE R , SWD R and tensile stress were investigated, respectively.Results In the group1, the carotid arteries had lower SWE R and SWD R than those in the group2 (SWE R , [10.29±9.57] kPa vs. [17.24±14.07] kPa; SWD R [11.99±3.51] (m/s)/kHz vs. [13.97±3.71] (m/s)/kHz, all P values < 0.05). In addition, the R-PTS was also lower in the group 1 ( P <0.05). Pearson correlation analysis showed that the carotid SWE R was positively correlated with tensile stress. R -values for R-PTS, R-MTS, L-PTS and L-MTS were r =0.218, r =0.359, r =0.209 and r =0.369, respectively (all P <0.05). However, the carotid SWD R was not significantly associated with TS.Conclusion Ultrasonic shear wave imaging could be used to quantitatively assess carotid viscoelasticity. The carotid TS was related to its elasticity while little related to its viscosity, suggesting that mechanical properties of the arterial wall might be better revealed.


2019 ◽  
Author(s):  
Stefan Schimschal ◽  
Stephen Fayers ◽  
Nicklas Ritzmann ◽  
Martin Cox ◽  
Iain Whyte

2021 ◽  
Vol 118 (2) ◽  
pp. 023702
Author(s):  
Steve Beuve ◽  
Samuel Callé ◽  
Elise Khoury ◽  
Emmanuel Gilles Simon ◽  
Jean-Pierre Remenieras

2016 ◽  
Vol 39 (3) ◽  
pp. 172-188
Author(s):  
Naoki Sunaguchi ◽  
Yoshiki Yamakoshi ◽  
Takahito Nakajima

This study investigates shear wave phase map reconstruction using a limited number of color flow images (CFIs) acquired with a color Doppler ultrasound imaging instrument. We propose an efficient reconstruction method to considerably reduce the number of CFIs required for reconstruction and compare this method with Fourier analysis-based color Doppler shear wave imaging. The proposed method uses a two-step phase reconstruction process, including an initial phase map derived from four CFIs using an advanced iterative algorithm of optical interferometry. The second step reduces phase artifacts in the initial phase map using an iterative correction procedure that cycles between the Fourier and inverse Fourier domains while imposing directional filtering and total variation regularization. We demonstrate the efficacy of this method using synthetic and experimental data of a breast phantom and human breast tissue. Our results show that the proposed method maintains image quality and reduces the number of CFIs required to four; previous methods have required at least 32 CFIs to achieve equivalent image quality. The proposed method is applicable to real-time shear wave elastography using a continuous shear wave produced by a mechanical vibrator.


Author(s):  
Mickael Tanter ◽  
Mathieu Pernot ◽  
Gabriel Montaldo ◽  
Jean-Luc Gennisson ◽  
Eric Bavu ◽  
...  

2021 ◽  
pp. 104517
Author(s):  
Shuan Yan ◽  
Hongyong Yuan ◽  
Yan Gao ◽  
Boao Jin ◽  
Lizheng Deng ◽  
...  

2020 ◽  
Author(s):  
N. Kerrouche ◽  
A. Alhammadi ◽  
A. AlMershed ◽  
H. Al-Khateeb ◽  
D.N. Tiwary ◽  
...  

2020 ◽  
Author(s):  
Chenglong Wang ◽  
Chengwen Xiao ◽  
Yi Xin ◽  
Wenxing Duan ◽  
Chengsen Zhang ◽  
...  

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