Abstract
We use singular value decomposition (SVD) to perform fast aberration correction during real-time ultrasound imaging. The method mitigates aberrations from second-order random scattering allowing for ultra-fast imaging in lung tissue. Importantly, as B-lines do not arise as a multiple random scattering process, the algorithm will keep the B-lines in the image, as this valuable artefact is commonly used to identify diseases. In addition, we incorporate pulse-coded excitations to improve the signal-to-noise ratio and mitigate attenuation in lung tissue. The combination of aberrationfree ultrafast imaging with pulse-encoded excitation has the potential to penetrate deeper in lung tissue, allowing its quantitative characterization by ultrasound. In this work, the performance of the above techniques is evaluated in a lung phantom, and safety tests were performed according to international recommendations.
BibTeX citation
@inproceedings{PTIsendra2022,
author = {Josep Rodríguez-Sendra and Noé Jiménez},
booktitle = {II Jornadas Científicas PTI + Salud Global. Valencia, Spain. 5-6 October},
doi = {http://cchs.csic.es/sites/default/files/content/event/2022/programa_ii-jornadas-cientificas-pti-salud-global-csic.pdf},
editor = {Proceedings of the II Jornadas Científicas PTI + Salud Global},
isbn = {ISBN: 978-84-87985-30-4},
month = {9},
organization = {Consejo Superior de Investigaciones Científicas},
pages = {112},
publisher = {CSIC},
series = {Poster},
title = {Lung ultrasound aberration correction with singular value decomposition beamforming and pulse-coded excitation},
url = {http://cchs.csic.es/es/event/ii-jornadas-cientificas-pti-salud-global},
year = {2022}
}