title: Neural network algorithm for image reconstruction using the "grid-friendly" projections.
abstract: The presented paper describes a development of original approach to the reconstruction problem using a recurrent neural network. Particularly, the "grid-friendly" angles of performed projections are selected according to the discrete Radon transform (DRT) concept to decrease the number of projections required. The methodology of our approach is consistent with analytical reconstruction algorithms. Reconstruction problem is reformulated in our approach to optimization problem. This problem is solved in present concept using method based on the maximum likelihood methodology. The reconstruction algorithm proposed in this work is consequently adapted for more practical discrete fan beam projections. Computer simulation results show that the neural network reconstruction algorithm designed to work in this way improves obtained results and outperforms conventional methods in reconstructed image quality.
authors.affiliation: Department of Computer Engineering, Czestochowa University of Technology, Armii Krajowej Avenue 36, 42-200 Częstochowa, Poland. cierniak@kik.pcz.czest.pl
authors.forename: Robert
authors.initials: R
authors.lastname: Cierniak
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016571:Neural Networks, Computer; D014057:Tomography, X-Ray Computed / Q000379:methods*