Shear Wave Imaging of Breast Tissue by Color Doppler Shear Wave Elastography

Author(s):  
Yoshiki Yamakoshi ◽  
Takahito Nakajima ◽  
Toshihiro Kasahara ◽  
Mayuko Yamazaki ◽  
Ren Koda ◽  
...  
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.


2013 ◽  
Vol 18 (12) ◽  
pp. 121514 ◽  
Author(s):  
Amir Nahas ◽  
Mickaël Tanter ◽  
Thu-Mai Nguyen ◽  
Jean-Marie Chassot ◽  
Mathias Fink ◽  
...  

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.


2017 ◽  
Vol 45 (1) ◽  
pp. 129-136 ◽  
Author(s):  
Atsushi Yamamoto ◽  
Yoshiki Yamakoshi ◽  
Takashi Ohsawa ◽  
Hitoshi Shitara ◽  
Tsuyoshi Ichinose ◽  
...  

2016 ◽  
Vol 55 (7S1) ◽  
pp. 07KC08 ◽  
Author(s):  
Yoshiki Yamakoshi ◽  
Mayuko Yamazaki ◽  
Toshihiro Kasahara ◽  
Naoki Sunaguchi ◽  
Yasushi Yuminaka

2016 ◽  
Vol 140 (4) ◽  
pp. 3419-3419
Author(s):  
Yoshiki Yamakoshi ◽  
Takahito Nakajima ◽  
Mayuko Yamazaki ◽  
Ren Koda ◽  
Naoki Sunaguchi

2018 ◽  
Vol 40 (6) ◽  
pp. 380-393 ◽  
Author(s):  
Jaromir Vachutka ◽  
Zuzana Sedlackova ◽  
Tomas Furst ◽  
Miroslav Herman ◽  
Jan Herman ◽  
...  

Shear wave imaging is considered to be more precise and less operator dependent when compared with strain imaging. It enables quantitative and reproducible data (Young’s modulus of the imaged tissue). However, results of shear wave imaging can be affected by a variety of different factors. The aim of this study is to evaluate the effect of the pressure applied by the ultrasound probe during examination on the measured values of Young’s modulus. The effect of the tissue compression on the results of the real-time shear wave elastography was evaluated via the gelatine phantom measurements, via the ex vivo experiments with pig liver, and via the in vivo measurements of the thyroid gland stiffness on healthy volunteers. The results of our measurements confirmed that the measured value of Young’s modulus increases with the increasing pressure applied on the imaged object. The highest increase was observed during the ex vivo experiments (400%), and the lowest increase was detected in the case of the phantom measurements (8%). A two- to threefold increase in Young’s modulus was observed between the minimum and maximum pressure in the case of the in vivo elastography measurements of thyroid gland. The Veronda-Westman theoretical model was used for the description of the tissue nonlinearity. We conclude that tissue compression by the force exerted on the probe can significantly affect the results of the real-time shear wave elastography measurements. Minimum pressure should be used when measuring the absolute value of Young’s modulus of superficial organs.


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

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

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