Image Reconstruction of Exterior Computed Tomography Accelerated by Computer Unified Device Architecture

The exterior Computed Tomography (CT) reconstruction majors in reconstructing the cross section image of pipe wall in reality. Subset Average-Total Variation Minimization-Projection Onto Convex Sets (SA-TVM-POCS) numerical reconstruction algorithm is one of the algorithms of exterior reconstruction methods that is stabilization and has good quality reconstructed image on non-destructive-testing of pipes. One disadvantage of the SA-TVM-POCS algorithm, just as other iterative algorithms, is the long computation time typically associated with reconstruction. This obstacle can be overcomed by implementing reconstruction algorithms on Computer Unified Device Architecture (CUDA). In this work the SA-TVM-POCS algorithm is implemented by CUDA in order to signi?cantly reduce the reconstruction time. The mathematical and computational details of the implementation are explored. The experiment results show that the algorithm can be speedup to 20 times without reducing the quality of reconstruction image. So, the SA-TVM-POCS algorithm of exterior computed tomography can be accelerated by CUDA effectively.