Compressed sensing photoacoustic imaging based on correlation criterion

For different tissues, the sparstiy of photoacoustic images changes greatly. In compressed sensing photoacoustic imaging, the required measurement increases as the image sparsity decreases to acquire a certain image quality. In this paper, a compressed sensing photoacoustic imaging method based on correlation criterion is proposed. The photoacoustic imaging scheme based on arc-compressed sensing and two-view observation is built firstly. Then the correlation coefficient between two-view observation images is defined and computed. As the measurement increases, the correlation coefficient rises. When the correlation coefficient reaches to a certain value, the reconstructed artifacts become slight enough and the measurement process finishes. The proposed method is testified by the subsequent simulation. Two tissue phantoms with different sparsity are built in the simulation. The corresponding photoacoustic signals are detected and reconstructed respectively. Simulation results show that the optimal measurement can be determined by the proposed correlation criterion.