Abstract
Traditional, two-dimensional automatic optical inspection methods can be only used for detecting surface defects and cannot be used for detection of internal defects. Therefore, the X-ray Computer Tomography (CT) method has been used for re-construction of three-dimensional images of the inspected objects, and also the detection of the internal defects. However, the image re-construction process is time-consuming. There are two common ways for image reconstruction: one is Filtered Back-Projection (FBP), the other is Algebraic Reconstruction Technique (ART). When the number of projection is little, using ART can get better image quality. However, ART takes longer time for image reconstruction. This paper focuses on speeding the computation by using hardware with parallel processing and simplified weight. We implemented the parallel computing of iterative reconstruction Method in General-Purpose computing on Graphics Processing Units (GPGPU). Keywords：X-Ray Computer Tomography, ART, GPU