Compressive-sensing-guided design of sparse receiver arrays for ultrasound imaging system

Efficient implementation of ultrasound (US) imaging systems is crucial for US applications. Previous studies have shown the utilization of compressive sensing (CS) to simplify US systems by reducing the channels of receiver arrays. We introduce a CS-based optimization approach tailored for the design of receiver arrays without any prior information about target objects. Simulation results demonstrate the benefit of the proposed optimization approach compared to previous uniform or random selection scheme based receiver channel selection in terms of location estimations and shape estimations of objects from reconstructed images.