Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging
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...
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MDPI AG
2020-09-01
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| Online Access: | https://www.mdpi.com/2076-3417/10/18/6298 |
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| author | Che-Chou Shen Kuan-Lin Tu |
| author_facet | Che-Chou Shen Kuan-Lin Tu |
| author_sort | Che-Chou Shen |
| collection | DOAJ |
| description | 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 (<i>C<sub>opt</sub></i>) 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 <i>C<sub>opt</sub></i> 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. |
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| spelling | doaj.art-b59136a15c8241fe91bc5cc9ec1bb8bf2023-11-20T13:15:16ZengMDPI AGApplied Sciences2076-34172020-09-011018629810.3390/app10186298Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave ImagingChe-Chou Shen0Kuan-Lin Tu1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, TaiwanVarious 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 (<i>C<sub>opt</sub></i>) 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 <i>C<sub>opt</sub></i> 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.https://www.mdpi.com/2076-3417/10/18/6298baseband delay-multiply-and-summulti-angle plane-wave imagingphase coherent factorestimation of tissue speed of soundoptimal beamforming velocity |
| spellingShingle | Che-Chou Shen Kuan-Lin Tu Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging Applied Sciences baseband delay-multiply-and-sum multi-angle plane-wave imaging phase coherent factor estimation of tissue speed of sound optimal beamforming velocity |
| title | Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging |
| title_full | Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging |
| title_fullStr | Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging |
| title_full_unstemmed | Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging |
| title_short | Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging |
| title_sort | ultrasound dmas beamforming for estimation of tissue speed of sound in multi angle plane wave imaging |
| topic | baseband delay-multiply-and-sum multi-angle plane-wave imaging phase coherent factor estimation of tissue speed of sound optimal beamforming velocity |
| url | https://www.mdpi.com/2076-3417/10/18/6298 |
| work_keys_str_mv | AT chechoushen ultrasounddmasbeamformingforestimationoftissuespeedofsoundinmultiangleplanewaveimaging AT kuanlintu ultrasounddmasbeamformingforestimationoftissuespeedofsoundinmultiangleplanewaveimaging |