GPU based algorithms in CT imaging

In X-ray computed tomography (CT) imaging, projections taken by a scanner are used to reconstruct the internal structure of an object. Due to the complexity of the data, the problem of reconstruction is a time consuming process. Although modern processors have gained sufficient power to be competitive in 2D reconstruction, it is not the case for 3D reconstruction especially when iterative methods are used. Today, the technology allows reducing this drawback effectively. In this work we compare two iterative algorithms of image reconstruction based on GPU implementation