SR-CT filter-back-projection algorithm and application in detection of microstructure evolution

Noise has been spotted in Synchrotron Radiation X-ray Computed Tomography (SR-CT) experiment; however, traditional filter functions (such as S-L filter function and R-L filter function) do not take the presence of noise into account. Therefore, the quality of reconstructed image is affected by noise seriously. In this paper, actual situation of SR-CT experiment was considered and a new filter function was applied. Simulation experiment was performed in order to verify the advantages of new filter function. The images reconstructed by different filter functions were compared by using image-evaluated parameters. The reconstructed images from ceramic sintering experiment projection were also obtained. The result shows that the new filter function is more suitable than the traditional filter functions in actual situation. To be close to the actual situation, the experiment noise in projections was analyzed. A new method to apply new filter function in reconstruction was presented by which image quality can be improved and the problem that image quality is affected by noise can be relieved. Therefore, this method could be better used in the real-time microstructure detection.