Planar ECT Image Reconstruction Based on Sensitivity Matrix Optimization

The quality of planar ECT reconstructed images is closely related to the acquisition capacitance value and sensitivity matrix. In view of the uneven distribution of sensitivity matrix and the low image quality caused by negative sensitivity, a sensitivity matrix optimization method was proposed to divide the sensitive field into several regions, update the sensitivity matrix with iterative local mean filtering, and set a threshold to deal with the negative sensitivity region. The feasibility of the improvement is verified by simulation experiments. The results show that the proposed method can make the reconstructed image with clearer defect location and edge information, less background artifacts and higher image quality.