Acoustic-electric tomography image imaging algorithm based on two-point gradient iteration method

The invention discloses an acoustoelectric tomography image imaging algorithm based on a two-point gradient iteration method, which is characterized in that the calculation efficiency is improved through the two-point gradient iteration method, and the image reconstruction precision is improved through the selection of a regularization item. The core of the invention is to utilize the characteristics of acoustoelectric hybrid imaging, that is, when boundary detection current is applied, power density data are obtained by utilizing ultrasonic disturbance, so that internal data of biological tissues are obtained. Meanwhile, different regularization items are introduced according to different characteristics of conductivity of different biological tissues, a two-point gradient iteration method is established, and high-resolution reconstruction of the conductivity of the biological tissues is achieved. Compared with a traditional acoustoelectric imaging method, the method has the advantages that the calculation a