A Comparative Study of Analytical,Iterative and Bayesian Reconstruction Algorithms in Computed Tomography(CT)

A general overview of analytical and iterative methods of reconstruction in computed tomography (CT) is presented in this paper, with a special focus on Back Projection (BP),

A general overview of analytical and iterative methods of reconstruction in computed tomography (CT) is presented in this paper, with a special focus on Back Projection (BP),

Through these simulated results, we have demonstrated that the Bayesian approach provides the best image quality and the small values of the quality measurements. Keywords :

As a case study, wetting contact angles of a water droplet above a polyethylene nanostructured sur- face are obtained from the interaction potential energy calculated as function of

The results show that, using ideal trackers, two of the methods that bin the list-mode data directly in the image space (DR and BTF) offer a better spatial resolution at the borders

In the numerical implementation part, we have compared the JMAP method with the results of differents reconstruction methods: simple back-projection, filtered back- projection,

Computed tomography reconstruction based on a hierarchical model and variational Bayesian method?. Li Wang, Ali Mohammad-Djafari, Nicolas Gac,

A joint segmentation and reconstruction algorithm for 3D Bayesian Computed Tomography using Gaus-Markov-Potts Prior Model.. The 42nd IEEE International Conference on Acoustics,