Phantom Experiments on Shear Wave Velocity Measurement by Virtual Sensing Array Spectrum Estimation

2011 ◽  
Vol 497 ◽  
pp. 153-160 ◽  
Author(s):  
Takashi Miwa ◽  
Kouki Kanzawa ◽  
Ryosuke Tomizawa ◽  
Yoshiki Yamakoshi

Quantitative shear wave velocity measurement inside the living tissue is a key technology in future qualitative diagnosis of breast tumor or liver diseases. We develop a novel shear wave velocity measurement system by using running wave number spectrum analysis of the complex displacement of the shear wave propagation excited by a single frequency. The velocity estimation method is demonstrated through the phantom experiments with the developed shear wave displacement measurement system. The validity of the measurement system is demonstrated by comparing with elastic wave simulation results. From the phantom experiments, it is shown that this method has high accuracy of velocity measurement even in the presence of large reflected waves.

2011 ◽  
Vol 497 ◽  
pp. 161-168 ◽  
Author(s):  
Takashi Miwa ◽  
Yoshiki Yamakoshi

Local shear wave velocity measurements are effective to obtain tissue elasticity map. We have proposed novel wave number spectrum based shear wave velocity measurement system. However, the accuracy and resolution of this technique should be optimized and sophisticated in future clinical application for breast cancer diagnosis. We propose a simulator of RF signal in shear wave velocity measurement system which can consider arbitrary shear wave propagation. We demonstrate the usefulness of this simulator by experimental result. Moreover, accuracy and resolution of small object is discussed for breast cancer application.


2020 ◽  
Vol 173 ◽  
pp. 103932
Author(s):  
Bo Yu ◽  
Hui Zhou ◽  
Handong Huang ◽  
Hanming Chen ◽  
Lingqian Wang ◽  
...  

1993 ◽  
Author(s):  
F. Lefeuvre ◽  
P. Desegaulx ◽  
M. L. Baratin

2014 ◽  
Vol 580-583 ◽  
pp. 264-267
Author(s):  
Sheng Jie Di ◽  
Zhi Gang Shan ◽  
Xue Yong Xu

Characterization of the shear wave velocity of soils is an integral component of various seismic analysis, including site classification, hazard analysis, site response analysis, and soil-structure interaction. Shear wave velocity at offshore sites of the coastal regions can be measured by the suspension logging method according to the economic applicability. The study presents some methods for estimating the shear wave velocity profiles in the absence of site-specific shear wave velocity data. By applying generalized regression neural network (GRNN) for the estimation of in-situ shear wave velocity, it shows good performances. Therefore, this estimation method is worthy of being recommended in the later engineering practice.


2011 ◽  
Vol 50 (7) ◽  
pp. 07HF07 ◽  
Author(s):  
Takashi Miwa ◽  
Raj Kumar Parajuli ◽  
Ryosuke Tomizawa ◽  
Yoshiki Yamakoshi

2019 ◽  
Vol 16 (1) ◽  
pp. 105-115 ◽  
Author(s):  
Yahua Yang ◽  
Xingyao Yin ◽  
Gang Gao ◽  
Zhixian Gui ◽  
Bin Zhao

1978 ◽  
Author(s):  
K.H. Stokoe ◽  
E.J. Arnold ◽  
R.J. Hoar ◽  
D.J. Shirley ◽  
D.G. Anderson

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