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Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks

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)]

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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.

Item Type:Journal (Paginated)
Keywords:tomography, reconstruction, neural network, fan-beam, interpolation
Subjects:Computer Science > Neural Nets
Computer Science > Artificial Intelligence
ID Code:6085
Deposited By: Medeiros, MSc Luciano F
Deposited On:13 Jun 2008 00:08
Last Modified:11 Mar 2011 08:57

References in Article

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[1] M.T. Munley et al. An artificial neural network approach to quantitative single photon emission computed tomographic reconstruction with collimator, attenuation and scatter compensation. Med. Physics. 21 (12) (1994).

[2] J. P. Kerr and E. B. Bartlett. A statistical tailored neural network approach to tomographic image reconstruction. Med. Physics. 22(5) (1995).

[3] R. G. S. Rodrigues. Desenvolvimento e Aplicação de um Algoritmo de Reconstrução Tomográfica com Base em Redes

Neurais Artificiais. Doctorate thesis. Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, SP (2000).

[4] H. Monma, Y. Chen, Z. Nakao. Computed Tomography base on a Self-organizing Neural Network, IEEE SMC '99

Conference Proceedings. (1999).

[5] L. F. Medeiros, H. P. da Silva and E. P. Ribeiro. Reconstrução de Imagens Tomográficas utilizando Redes Neurais Parcialmente Conectadas. Proceedings of the V Brazilian Conference of Neural Networks. Rio de Janeiro, RJ (2001).

[6] L. F. Medeiros. Reconstrução de Imagens Tomográficas com Redes Neurais Parcialmente Conectadas. Dissertação de

Mestrado. UFPR. Curitiba, PR (2001).

[7] A. Rosenfeld and A. Kak. Digital Picture Processing. Academic Press. San Diego (1982).

[8] L. F. Medeiros, H. P. da Silva and E. P. Ribeiro. Reconstrução de Imagens Tomográficas Geradas por Projeções Fan-Beam com Detectores Eqüidistantes usando Redes Neurais Parcialmente Conectadas. Proceedings of the VI Brazilian

Conference of Neural Networks. São Paulo, SP (2003).

[9] P. Williams, T. York. Hardware implementation of RAM-based neural networks for tomographic data processing. IEE

Proceedings of Computers and Digital Techniques, pp. 114-118, (1999).

[10] A. K. Jain. Fundamentals of Digital Image Processing. Prentice-Hall, pp.431-475 (1989).

[11] G. T. Herman. Image Reconstruction from Projections. Academic Press, pp.90-160 (1980).

[12] G. T. Herman., S. W. Rowland and M. M. Yau. A comparative study of the use of linear interpolation and modified cubic spline interpolation for image reconstruction. IEEE Transactions Nuclear Sciences, pp.2879-2894 (1973).

[13] S. Haykin. Neural Networks – A Comprehensive Foundation. MacmillanColl. Pub. Com. Inc. pp.1-41 (1994).

[14] A. Kak and M. Slaney. Principles of Computerized Imaging. IEEE Press. New York (1988).

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