creators_name: Medeiros, Luciano Frontino de
creators_name: Silva, Hamilton Pereira da
creators_name: Ribeiro, Eduardo Parente
creators_id: lfm@egc.ufsc.br
creators_id: hsilva@facinter.br
creators_id: edu@eletrica.ufpr.br
type: journalp
datestamp: 2008-06-13 00:08:41
lastmod: 2011-03-11 08:57:07
metadata_visibility: show
title: Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks
ispublished: pub
subjects: comp-sci-neural-nets
subjects: comp-sci-art-intel
full_text_status: public
keywords: tomography, reconstruction, neural network, fan-beam, interpolation
abstract: 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
date_type: published
publication: Learning and Nonlinear Models – Revista da Sociedade Brasileira de Redes Neurais
volume: 1
number: 2
pagerange: 122-130
refereed: TRUE
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citation:   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)]     
document_url: http://cogprints.org/6085/1/artigo5.pdf