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2020 ◽  
Vol 1650 ◽  
pp. 022058
Author(s):  
Yang Liu ◽  
Jing He ◽  
Xingcun Wu ◽  
Qian He
Keyword(s):  

2020 ◽  
Vol 10 (18) ◽  
pp. 6298
Author(s):  
Che-Chou Shen ◽  
Kuan-Lin Tu

Various methods have been proposed to estimate the tissue speed of sound (SOS) of propagating medium using the curvature of received channel waveform or the analysis of resultant image quality. In our previous study, baseband delay-multiply-and-sum (DMAS) beamforming methods have been developed for multi-angle plane-wave (PW) imaging which relies on signal coherence among transmit events (Tx-DMAS) or receive channel (Rx-DMAS) or both (2D-DMAS) to suppress low-coherence clutters. In this study, we further extend our DMAS beamforming to quantify the level of signal coherence for determining the average SOS in multi-angle PW imaging. The signal coherence in multi-angle PW imaging is represented as the DMAS coherence factor (DCF) which can be easily estimated from the magnitude ratio of the pixel value of DMAS image to that of DAS image. By searching the beamforming velocity that provides the highest signal coherence of echo matrix, the average tissue SOS of the imaged object can be determined. For the PICMUS experimental dataset, the optimal beamforming velocity (Copt) estimated by the proposed DCF method does provide the best image quality. For the Prodigy dataset, the estimated tissue SOS is 1426 ± 6 m/s which is very close to the actual tissue SOS of 1427 m/s and the estimated SOS also corresponds to the Copt with the minimal −6-dB lateral width and the maximal contrast within an error of 10 m/s. Estimation of tissue SOS in the proposed DCF method is also robust even in the presence of transmit delay error due to deviation of SOS.


2020 ◽  
Vol 33 (11) ◽  
Author(s):  
Marine A.C. Moussu ◽  
Stanislav B. Glybovski ◽  
Redha Abdeddaim ◽  
Christophe Craeye ◽  
Stefan Enoch ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 176024-176035
Author(s):  
Liu Nan ◽  
Guo Kaisi ◽  
Zhang Zhenghe ◽  
Zhang Linrang

Author(s):  
Efe Ozturk ◽  
Dieter Genschow ◽  
Uroschanit Yodprasit ◽  
Berk Yilmaz ◽  
Dietmar Kissinger ◽  
...  

2015 ◽  
Vol 49 (2) ◽  
pp. 59-69 ◽  
Author(s):  
Dezhang Chu ◽  
J. Michael Jech ◽  
Stan D. Tomich ◽  
Lawrence C. Hufnagle

AbstractAn acoustic imaging microtome system (AIMS) was constructed to map the internal structure of fish. The system consists of two pairs of high-frequency (4.5 MHz) transmit-and-receive planar arrays, with one pair in the vertical plane and the other in the horizontal plane. AIMS provides a series of acoustic images, analogous to microtome slices, along the length of a fish by combining electronically controlled sequential acoustic transmissions and receptions over 224 channels and a computer-controlled mechanical device that moves the acoustic arrays lengthwise along the fish. AIMS measures the acoustic attenuation (extinction) along the direct ray paths of each transmit-receive channel pair that penetrates the fish body in a bistatic configuration. This results in a 2-D image of the interior morphology with 4- to 5-mm resolution. The images can provide morphological information on the fish's cheekbone, backbone, rib bone, skull, fins, stomach, and swimbladder, which is important for accurately modeling fish acoustic target strength, especially for non-swimbladder-bearing fish species.


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