A 2D approach to tomographic image reconstruction using a Hopfield-type neural network

OBJECTIVE: In this paper a new approach to tomographic image reconstruction from projections is developed and investigated. METHOD: To solve the reconstruction problem a special neural network which resembles a Hopfield net is proposed. The reconstruction process is performed during the minimizing of the energy function in this network. To improve the performance of the reconstruction process an entropy term is incorporated into energy expression. RESULT AND CONCLUSION: The approach presented in this paper significantly decreases the complexity of the reconstruction problem.