%A Luciano Frontino de Medeiros
%A Hamilton Pereira da Silva
%A Eduardo Parente Ribeiro
%J Learning and Nonlinear Models ? Revista da Sociedade Brasileira de Redes Neurais
%T Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks
%X 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.
%N 2
%K tomography, reconstruction, neural network, fan-beam, interpolation
%P 122-130
%V 1
%D 2003
%L cogprints6085