title: Optimum beamforming for sidelobe reduction in ultrasound imaging.
abstract: A constrained adaptive beamforming in a deterministic sense is considered for side lobe reduction, leading to an adaptive weighting of the uniform delay-and-sum beamformer; based upon this, the coherence factor and other similar methods are interpreted as beamforming methods. A generalized form of the weighting factor for the side lobe reduction is also established. It is shown through simulations that restricting the apodization vector to a parametric representation through a discrete Fourier transform or discrete cosine transform can result in higher quality images with fewer artifacts and enhanced contrast properties compared with images obtained through the coherence factor-like methods.
authors.forename: Sayed Mahmoud
authors.initials: SM
authors.lastname: Sakhaei
mesh_terms: D003198:Computer Simulation; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D019047:Phantoms, Imaging; D014463:Ultrasonography / Q000379:methods*