An efficient and accurate image reconstruction algorithm for ultrasound tomography (UST) is described and demonstrated, which can recover accurate sound speed distribution from acoustic time series measurements made in soft tissue. The approach is based on a second-order iterative minimisation of the difference between the measurements and a model based on a ray-approximation to the heterogeneous Green's function. It overcomes the computational burden of full-wave solvers while avoiding the drawbacks of time-of-flight methods. Through the use of a second-order iterative minimisation scheme, applied stepwise from low to high frequencies, the effects of scattering are incorporated into the inversion.

翻译：描述和演示了超声波断层摄影(UST)的有效和准确图像重建算法,从对软组织进行声学时间序列测量中可以恢复准确的音速分布;该方法基于对测量结果与异质格林功能的光相适应模型之间差异的第二阶迭代最小化;克服全波解答器的计算负担,同时避免飞行时间方法的缺陷;通过使用从低频到高频的第二阶迭代最小化方法,将散射效应纳入反射中。