Sparsity aware nonlinear multichannel ultrasonic tomographic imaging

This paper presents an accelerate projected steepest descent method for nonlinear ultrasonic tomographic imaging with sparsity constraints in a multiple-input multiple-output configuration. The proposed method introduces the emerging MIMO signal processing techniques and sparsity constrained image reconstruction methods to the traditional computational imaging field, thus significantly improves the speed of image formation compared with conventional imaging method while achieving high quality images. Using numerical examples, we demonstrate the success of the proposed algorithm.