Fast Cone-beam CT reconstruction using GPU

Fast 3D cone-beam CT reconstruction is required by many application fields like medical CT imaging or industrial non-destructive testing. We have used GPU hardware and CUDA platform to speed-up the Feldkamp Davis Kress (FDK) algorithm, which permits the reconstruction of cone-beam CT data. In this work, we present our implementation of the most time-consuming step of FDK algorithm: back-projection. We also explain the required transformations to parallelize the algorithm for the CUDA architecture. Our FDK algorithm implementation in addition allows to do a rapid reconstruction, which means that the reconstruction is completed just after the end of data acquisition.