Ultrasound images are distorted by phase aberration arising from local sound speed variations in the tissue, which lead to inaccurate time delays in beamforming and loss of image focus.
Whereas state-of-the-art correction approaches rely on simplified physical models (e.g. phase screens), we propose a novel physics-based framework called differentiable beamforming that can be used to rapidly solve a wide range of imaging problems. We demonstrate the generalizability of differentiable beamforming by optimizing the spatial sound speed distribution in a heterogeneous imaging domain to achieve ultrasound autofocusing using a variety of physical constraints based on phase shift minimization, speckle brightness, and coherence maximization.
The proposed method corrects for the effects of phase aberration in both simulation and in-vivo cases by improving image focus while simultaneously providing quantitative speed-of-sound distributions for tissue diagnostics, with accuracy improvements with respect to previously published baselines. Finally, we provide a broader discussion of applications of differentiable beamforming in other ultrasound domains.
@inproceedings{simson2023dbua,
title={Differentiable Beamforming for Ultrasound Autofocusing},
author={Simson, Walter and Zhuang, Louise and Sanabria, Sergio J and Antil, Neha and Dahl, Jeremy J and Hyun, Dongwoon},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={428--437},
year={2023},
organization={Springer}
}