de Souza, Julio Cesar Eduardo [UNESP]Prado, Vander TeixeiraKitano, Cláudio [UNESP]Higuti, Ricardo Tokio [UNESP]2020-12-122020-12-122019-01-01IFMBE Proceedings, v. 70, p. 441-445.1433-92771680-0737http://hdl.handle.net/11449/200760The genetic algorithm was used to obtain sparse arrays with 8, 16, 32 and 64 transducers in a possible aperture size of 128 elements. The optimization was made by minimizing a fitness function that takes into account the mainlobe width and sidelobe levels of the array radiation pattern. The sparse arrays were used to image 11 twisted wires in a medical phantom. The sparse arrays were able to generate images with resolution comparable to a 128 elements array and reduced artifacts in comparison to arrays with the same number of elements.441-445engGenetic algorithmSparse arrayUltrasonic imagesTrabalho apresentado em evento10.1007/978-981-13-2517-5_672-s2.0-85087984765640533951088320328834403518951670000-0003-4201-56170000-0001-6320-755X