Estimation method for sound velocity distribution for high-resolution ultrasonic tomographic imaging
- 63 Downloads
With commercial ultrasonic equipment, the sound velocity is fixed to a constant value of 1530 or 1540 m/s, which is used for beam formation. However, the assumption of a constant sound velocity is not optimal, as the sound velocity in a living body is heterogeneous. In this study, a novel method was proposed to estimate the distribution of the sound velocity in a region of interest.
The sound velocity distribution was estimated by fitting the theoretical propagation time of the ultrasonic wave from the scatterer to each of the probe elements with measured values.
In a phantom experiment, the sound velocity distribution was estimated by the proposed method with a maximum estimation error of 0.6%, and the resultant local sound velocity values successfully improved the quality of the ultrasonic image.
The proposed method has the potential to improve ultrasonic image quality in in vivo experiments by estimating the sound velocity distribution.
KeywordsUltrasound imaging Ultrasound velocity
Compliance with ethical standards
This article does not contain studies with human or animal subjects performed by the authors.
Conflict of interest
The authors have no conflicts of interest with regard to the presented research.
- 3.Kurokawa Y, Taki H, Yashiro S, et al. Estimation of size of red blood cell aggregates using backscattering property of high-frequency ultrasound: in vivo evaluation. Jpn J Appl Phys. 2016;55:07KF12-1–8.Google Scholar
- 4.Sakai Y, Taki H, Kanai H. Accurate evaluation of viscoelasticity of radial artery wall during flow-mediated dilation in ultrasound measurement. Jpn J Appl Phys. 2016;55:07KF11-1–6.Google Scholar
- 24.Kroebel W, Mahrt KH. Recent results of absolute sound velocity measurements in pure water and sea water at atmospheric pressure. Acustica. 1976;35:154–64.Google Scholar
- 27.Mori S, Hirata S, Yamaguchi T, et al. Probability image of tissue characteristics for liver fibrosis using multi-Rayleigh model with removal of nonspeckle signals. Jpn J Appl Phys. 2015;54:07HF20-11–8.Google Scholar