Ultrasound DMAS Beamforming for Estimation of Tissue Speed of Sound in Multi-Angle Plane-Wave Imaging
| Autor: | Kuan-Lin Tu, Che-Chou Shen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Beamforming
Channel (digital image) Image quality Acoustics 01 natural sciences Signal lcsh:Technology 030218 nuclear medicine & medical imaging lcsh:Chemistry 03 medical and health sciences 0302 clinical medicine baseband delay-multiply-and-sum 0103 physical sciences multi-angle plane-wave imaging Waveform Coherence (signal processing) General Materials Science 010301 acoustics Instrumentation lcsh:QH301-705.5 Fluid Flow and Transfer Processes Physics optimal beamforming velocity Pixel lcsh:T Process Chemistry and Technology phase coherent factor General Engineering lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Baseband lcsh:Engineering (General). Civil engineering (General) estimation of tissue speed of sound lcsh:Physics |
| Zdroj: | Applied Sciences, Vol 10, Iss 6298, p 6298 (2020) Applied Sciences Volume 10 Issue 18 |
| ISSN: | 2076-3417 |
| Popis: | 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 &minus 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. |
| Databáze: | OpenAIRE |
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