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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\r\nreconstruction 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." altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: - lfm@egc.ufsc.br - hsilva@facinter.br - edu@eletrica.ufpr.br creators_name: - family: Medeiros given: Luciano Frontino de honourific: '' lineage: '' - family: Silva given: Hamilton Pereira da honourific: '' lineage: '' - family: Ribeiro given: Eduardo Parente honourific: '' lineage: '' date: 2003 date_type: published datestamp: 2008-06-13 00:08:41 department: ~ dir: disk0/00/00/60/85 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 6085 fileinfo: /style/images/fileicons/application_pdf.png;/6085/1/artigo5.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'tomography, reconstruction, neural network, fan-beam, interpolation' lastmod: 2011-03-11 08:57:07 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: 2 pagerange: 122-130 pubdom: FALSE publication: Learning and Nonlinear Models – Revista da Sociedade Brasileira de Redes Neurais publisher: ~ refereed: TRUE referencetext: "[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).\r\n\r\n[2] J. P. Kerr and E. B. Bartlett. A statistical tailored neural network approach to tomographic image reconstruction. Med. Physics. 22(5) (1995).\r\n\r\n[3] R. G. S. Rodrigues. Desenvolvimento e Aplicação de um Algoritmo de Reconstrução Tomográfica com Base em Redes\r\nNeurais Artificiais. Doctorate thesis. Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, SP (2000).\r\n\r\n[4] H. Monma, Y. Chen, Z. Nakao. Computed Tomography base on a Self-organizing Neural Network, IEEE SMC '99\r\nConference Proceedings. (1999).\r\n\r\n[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).\r\n\r\n[6] L. F. Medeiros. Reconstrução de Imagens Tomográficas com Redes Neurais Parcialmente Conectadas. Dissertação de\r\nMestrado. UFPR. Curitiba, PR (2001).\r\n\r\n[7] A. Rosenfeld and A. Kak. Digital Picture Processing. Academic Press. San Diego (1982).\r\n \r\n[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\r\nConference of Neural Networks. São Paulo, SP (2003).\r\n\r\n[9] P. Williams, T. York. Hardware implementation of RAM-based neural networks for tomographic data processing. IEE\r\nProceedings of Computers and Digital Techniques, pp. 114-118, (1999).\r\n\r\n[10] A. K. Jain. Fundamentals of Digital Image Processing. Prentice-Hall, pp.431-475 (1989).\r\n\r\n[11] G. T. Herman. Image Reconstruction from Projections. Academic Press, pp.90-160 (1980).\r\n\r\n[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).\r\n\r\n[13] S. Haykin. Neural Networks – A Comprehensive Foundation. MacmillanColl. Pub. Com. Inc. pp.1-41 (1994).\r\n\r\n[14] A. Kak and M. Slaney. Principles of Computerized Imaging. IEEE Press. New York (1988)." relation_type: [] relation_uri: [] reportno: ~ rev_number: 28 series: ~ source: ~ status_changed: 2008-06-13 00:08:41 subjects: - comp-sci-neural-nets - comp-sci-art-intel succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Tomographic Image Reconstruction of Fan-Beam Projections with Equidistant Detectors using Partially Connected Neural Networks type: journalp userid: 7798 volume: 1