Data Interpolation in Missing Cone Problem by Iterative Phase Retrieval Algorithm

A conical CT system was used for the industrial X-ray CT system on this paper. It is known that this system has a missing cone problem, which causes a growth of image. We used an iterative phase retrieval algorithm as a proposal to solve this problem. We confirmed that this algorithm can recover a data of low frequency such as the approximate outline of the object. In addition, we tried to make a new constrain, boundary condition, which is implemented along the boundary of the missing cone. Through this search, it was found out that this algorithm offered the access to reducing the relative-error-rate by approximate 80%.