Ultrasound Imaging for Medical and Industrial Applications
Funding: LABEX CeLyA (Grant No. ANR-10-LABX-0060) of Université de Lyon, within the program ”Investissements d’Avenir” (Grant No. ANR-16-IDEX-0005) operated by the French National Research Agency (ANR).
Background image credit: © Tatiana Gelvez
Description: This project aimed to bridge medical ultrasound imaging and industrial noise localization applications, where beamforming is a key technique for acoustic image formation. It focused on developing methods that exploit parallels between both fields through a model-based beamforming approach incorporating prior information via regularization, improving image quality across both applications.
Personal contribution: My personal contribution focused on the mathematical formulation, practical implementation, and evaluation of a novel model-based beamforming framework for passive acoustic mapping. I proposed a relaxed linear forward operator to model wave propagation, designed optimization algorithms exploiting spatiotemporal priors such as sparsity and smoothness and validated the approach on both medical (cavitation mapping) and industrial (room acoustics) applications using simulated and experimental data.
Associated publications:
Time-Domain Linear Model-based Framework for Passive Acoustic Mapping of Cavitation Activity.
Submitted to IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. arXiv preprint arXiv:2511.20551 (2025)
Gelvez-Barrera, T., Nicolas, B., Kouamé, D., Gilles, B., & Basarab, A.
Time-domain Beamforming for Room Acoustics Analysis based on Reverberant Field Estimation.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2025)
Gelvez-Barrera, T., Leclere, Q., Nicolas, B., Antoni, J., Basarab, A.