Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging

Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging

Luijten, Ben (Eindhoven University of Technology)
Ossenkoppele, B.W. (TU Delft ImPhys/Verweij group; TU Delft ImPhys/Medical Imaging)
de Jong, N. (TU Delft ImPhys/De Jong group; Erasmus MC)
Verweij, M.D. (TU Delft ImPhys/Medical Imaging; TU Delft ImPhys/Verweij group; Erasmus MC)
Eldar, Yonina C. (Weizmann Institute of Science)
Mischi, Massimo (Eindhoven University of Technology)
van Sloun, Ruud J.G. (Eindhoven University of Technology; Philips Research)

2023

Ultrasound imaging is an attractive imaging modality due to its low-cost and real-time feedback, although it often falls short in image quality compared to MRI and CT imaging. Conventional ultrasound image reconstruction, such as Delay-and-Sum beamforming, is derived from maximum-likelihood estimation. As such, no prior information is exploited in the image formation process, which limits potential image quality. Maximum-a-posteriori (MAP) beamforming aims to overcome this issue, but often relies on rough approximations of the underlying signal statistics. Deep learning based reconstruction methods have demonstrated impressive results over the past years, but often lack interpretability and require vast amounts of data.In this work we present a neural MAP beamforming technique, which efficiently combines deep learning in the MAP beamforming framework. We show that this model-based deep learning approach can achieve high-quality imaging, improving over the state-of-the-art, without compromising the real-time abilities of ultrasound imaging.

Ultrasound
Beamforming
Deep-Learning
Probabilistic modelling

http://resolver.tudelft.nl/uuid:ec9cc2d9-f876-44e5-88b5-913159d986ad

https://doi.org/10.1109/ICASSP49357.2023.10096073

IEEE, Piscataway

2023-11-05

978-1-7281-6328-4

Proceedings of the ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023, 2023-06-04 → 2023-06-10, Rhodes Island, Greece

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1520-6149, 2023-June

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 Ben Luijten, B.W. Ossenkoppele, N. de Jong, M.D. Verweij, Yonina C. Eldar, Massimo Mischi, Ruud J.G. van Sloun