title: Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks
creator: Medeiros, Luciano Frontino de
creator: Silva, Hamilton Pereira da
creator: Ribeiro, Eduardo Parente
subject: Neural Nets
subject: Artificial Intelligence
description: We present a neural network approach for tomographic imaging problem using interpolation methods and fan-beam projections. This approach uses a partially connected neural network especially assembled for solving tomographic  reconstruction with no need of training. We extended the calculations to perform reconstruction with interpolation and to allow tomography of fan-beam geometry. The main goal is to aggregate speed while maintaining or improving the quality of the tomographic reconstruction process.
date: 2003
type: Journal (Paginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/6085/1/artigo5.pdf
identifier:   Medeiros, Luciano Frontino de and Silva, Hamilton Pereira da and Ribeiro, Eduardo Parente  (2003) Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks.  [Journal (Paginated)]     
relation: http://cogprints.org/6085/