Synthetic transmit aperture beamforming for sound velocity estimation using channel-domain differential phase gradient – A phantom study

Shen, Che Chou; Hsiao, Sheng Hsuan; Lin, Yen‐Chung

doi:10.1016/j.ultras.2018.09.013

Cited by 5 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is because, when the received channel data comes from a large sample volume due to unfocused transmission, the corresponding phase curve would have a reduced curvature due to the superimposition of several diffuse scatterers in the lateral direction [29]. This phenomenon is in agreement with other pre-beamforming SOS estimation methods such as in [15][16][17].…”

Section: Discussionsupporting

confidence: 79%

“…The minimum average phase variance method is to calculate the minimal phase variances of channel signal using different C beam to determine the C opt [15]. The phase variance can be also represented in the form of channel differential phase gradient between left and right sub-apertures [16,17]. On the other hand, the channel autocorrelation function of different C beam with the largest area under curve also correspond to the C opt [18].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging

Shen

2020

Applied Sciences

Self Cite

View full text Add to dashboard Cite

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.

show abstract