Compressive sensing ultrasound beamformed imaging in time and frequency domain

High sampling rate is necessary for a quality ultrasound image, which demands expensive data-acquisition and computing devices. Compressive sensing(CS) can reconstruct high quality image with less data. It can give optimal solution to high sampling problem in ultrasound imaging. Ultrasound imaging is performed using beamforming of transducer array elements. In this work we present time and frequency domain beamforming matrices and demonstrates how it can be used as CS-matrix to reconstruct ultrasound images. Feasibility of CS with the beamforming matrices are studied using transfer point spread function. Compared to previous work in ultrasound using CS where signal reconstruction is used from undersampled data, we present direct ultrasound image reconstruction from highly undersampled received data. Image reconstruction with time and frequency domain beamformed CS-matrix are showed. Through our results it is clear that compressive sensing in ultrasound imaging can significantly reduce sampling rate by maintaining same image quality as traditional ultrasound imaging.