Optimization of Exponential-Based Filter Function in CT Image Reconstruction

Computed tomography (CT) has been widely applied in industrial, medical, defense, aerospace and other fields. With the continuous development of science and technology, higher requirements on CT for getting more accurate information on the internal structure of the material are put forward and one hopes to display more detailed and complete organizational structure information in reconstruction image. In this article, an exponential-based filter function(EBFF) is proposed to obtain a better image quality by using exponential-based filter function to reconstruct the image in the MATLAB platform, and the parameters of ε, r and d are exploited to compare image reconstruction results with several traditional filter functions. Furthermore, EBFF was used to reconstruct the image under the experimental platform of cone beam CT. Both simulation and experiment results show that EBFF has some improvement on the reconstructed image quality, and compared to the traditional filter function EBFF can give a better reconstruction result and is helpful to the optimization of the results of image reconstruction.