A Deep Learning Method to Process Scattered Field Data in Biomedical Imaging System

This paper proposed a deep-learning-based method to process the scattered field data of transmitting antenna, which is unmeasurable in inverse scattering system because the transmitting and receiving antennas are multiplexed. A U-net convolutional neural network (CNN) is used to recover the scattered field data of each transmitting antenna. The numerical results proved that the proposed method can complete the scattered field data at the transmitting antenna which is unable to measure in the actual experiment and can also eliminate the reconstructed error caused by the loss of scattered field data.