The current investigation delves into the capabilities of deep neural networks for configuring an ultrasonic beamformer with the ability to mitigate secondary lobe structures within images. Through experimentation with a collection of simulated signals, the results obtained underscore the feasibility of achieving this objective within a synthetic aperture imaging framework. Notably, data structure, improvements in lateral resolution are also demonstrated to be attainable..
Agradecimientos
Los resultados de esta publicación son parte de los proyectos de I+D+i: PID2019-111392RB-100/ MCIN/AEI/10.13039/501100011033/ PID2022-138013OB-I00/ MCIN/AEI/10.13039/501100011033/ FEDER, UE ISABEL- 202150E058