<rdf:RDF xmlns:crm='http://www.cidoc-crm.org/rdfs/cidoc_crm_v5.0.2_english_label.rdfs#' xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:dcterms='http://purl.org/dc/terms/' xmlns:doap='http://usefulinc.com/ns/doap#' xmlns:edm='http://www.europeana.eu/schemas/edm/' xmlns:ekt='https://www.semantics.gr/authorities/schemanamespaces/ekt#' xmlns:foaf='http://xmlns.com/foaf/0.1/' xmlns:ore='http://www.openarchives.org/ore/terms/' xmlns:owl='http://www.w3.org/2002/07/owl#' xmlns:rdaGr2='http://rdvocab.info/ElementsGr2/' xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#' xmlns:rdfs='http://www.w3.org/2000/01/rdf-schema#' xmlns:skos='http://www.w3.org/2004/02/skos/core#' xmlns:svcs='http://rdfs.org/sioc/services#' xmlns:wgs84_pos='http://www.w3.org/2003/01/geo/wgs84_pos#' xmlns:xalan='http://xml.apache.org/xalan'><edm:ProvidedCHO rdf:about='https://www.openarchives.gr/aggregator-openarchives/edm/hnps/000118-2542'><dc:creator>Paschalis, P.</dc:creator><dc:creator>Argyrou, M.</dc:creator><dc:creator>Maintas, D.</dc:creator><dc:creator>Stiliaris, E.</dc:creator><dc:description xml:lang='en'>A new approach for tomographic image reconstruction from projections using Artificial Neural Network (ANN) techniques is presented in this work. The design of the proposed reconstruction system is based on a simple but efficient network architecture, which best utilizes all available input information. Due to the computational complexity, which grows quadratically with the image size, the training phase of the system is characterized by relatively large CPU times. The trained network, on the contrary, is able to provide all necessary information in a quick and efficient way giving results comparable to other time consuming iterative reconstruction algorithms. The performance of the network studied with a large number of software phantoms is directly compared to the well known Algebraic Reconstruction Technique (ART). For a given image and projections size, the role of the hidden layers in the network architecture is examined and the quality dependence of the reconstructed image on the size of the geometrical patterns used in the training phase is also investigated.</dc:description><dc:format>application/pdf</dc:format><dc:identifier>10.12681/hnps.2542</dc:identifier><dc:identifier>https://eproceedings.epublishing.ekt.gr/index.php/hnps/article/view/2542</dc:identifier><dc:language>eng</dc:language><dc:publisher xml:lang='en'>Hellenic Nuclear Physics Society (HNPS)</dc:publisher><dc:relation rdf:resource='https://eproceedings.epublishing.ekt.gr/index.php/hnps/article/view/2542/2418'></dc:relation><dc:rights xml:lang='el'>Πνευματική ιδιοκτησία (c) 2019 M. Argyrou, P. Paschalis, D. Maintas, E. Stiliaris</dc:rights><dc:source>Annual Symposium of the Hellenic Nuclear Physics Society</dc:source><dc:source>2654-0088</dc:source><dc:source>2654-007X</dc:source><dc:source xml:lang='el'>Annual Symposium of the Hellenic Nuclear Physics Society; Τόμ. 18 (2010): HNPS2010; 89-94</dc:source><dc:source xml:lang='en'>HNPS Advances in Nuclear Physics; Vol. 18 (2010): HNPS2010; 89-94</dc:source><dc:subject rdf:resource='http://semantics.gr/authorities/EKT-voc-classifier/1573636727'></dc:subject><dc:title xml:lang='en'>Tomographic Image Reconstruction based on Artificial Neural Network (ANN) Techniques</dc:title><dc:type>info:eu-repo/semantics/article</dc:type><dc:type rdf:resource='http://semantics.gr/authorities/openarchives-item-types/Conference-article'></dc:type><dc:type>info:eu-repo/semantics/publishedVersion</dc:type><dc:type rdf:resource='http://semantics.gr/authorities/openarchives-item-types/Scientific-article'></dc:type><dcterms:created>2019-11-23</dcterms:created></edm:ProvidedCHO><skos:Concept rdf:about='http://semantics.gr/authorities/EKT-voc-classifier/1573636727'><skos:prefLabel xml:lang='el'>Πυρηνική φυσική</skos:prefLabel><skos:prefLabel xml:lang='en'>Nuclear Physics</skos:prefLabel><skos:broader rdf:resource='http://semantics.gr/authorities/EKT-voc-classifier/1776219804'></skos:broader><skos:relatedMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh85056400'></skos:relatedMatch><skos:relatedMatch rdf:resource='http://vocabularies.unesco.org/thesaurus/concept1237'></skos:relatedMatch><skos:relatedMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh85098374'></skos:relatedMatch><skos:relatedMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh85027256'></skos:relatedMatch><skos:relatedMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh85028443'></skos:relatedMatch><skos:relatedMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh85110340'></skos:relatedMatch><skos:exactMatch rdf:resource='http://semantics.gr/authorities/EKT-voc/1573636727'></skos:exactMatch><skos:closeMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh85093024'></skos:closeMatch><skos:closeMatch rdf:resource='http://id.loc.gov/authorities/subjects/sh2015003070'></skos:closeMatch><skos:closeMatch rdf:resource='http://vocabularies.unesco.org/thesaurus/concept9717'></skos:closeMatch><skos:closeMatch rdf:resource='http://semantics.gr/authorities/ekt-unesco/198681461'></skos:closeMatch><skos:closeMatch rdf:resource='http://vocabularies.unesco.org/thesaurus/concept128'></skos:closeMatch><skos:note xml:lang='en'>isi - Physics, Nuclear includes resources on the study of nuclear structure, decay, radioactivity, reactions, and scattering. Resources in this category focus on low-energy physics. High-energy physics is covered in the PHYSICS, PARTICLES &amp; FIELDS category.</skos:note></skos:Concept><skos:Concept rdf:about='http://semantics.gr/authorities/openarchives-item-types/Conference-article'><skos:prefLabel xml:lang='el'>Άρθρο συνεδρίου</skos:prefLabel><skos:prefLabel xml:lang='en'>Conference article</skos:prefLabel><skos:broader rdf:resource='http://semantics.gr/authorities/openarchives-item-types/Conference-item'></skos:broader></skos:Concept><skos:Concept rdf:about='http://semantics.gr/authorities/openarchives-item-types/Scientific-article'><skos:prefLabel xml:lang='el'>Επιστημονικό άρθρο</skos:prefLabel><skos:prefLabel xml:lang='en'>Scientific article</skos:prefLabel><skos:broader rdf:resource='http://semantics.gr/authorities/openarchives-item-types/arthro'></skos:broader></skos:Concept><ore:Aggregation rdf:about='https://www.openarchives.gr/aggregator-openarchives/edm/aggregation/provider/000118-2542%231'><edm:aggregatedCHO rdf:resource='https://www.openarchives.gr/aggregator-openarchives/edm/hnps/000118-2542'></edm:aggregatedCHO><edm:dataProvider>Hellenic Nuclear Physics Society</edm:dataProvider><edm:isShownAt rdf:resource='https://eproceedings.epublishing.ekt.gr/index.php/hnps/article/view/2542'></edm:isShownAt><edm:provider>Greek Aggregator OpenArchives.gr | National Documentation Centre (EKT)</edm:provider><edm:rights>other</edm:rights></ore:Aggregation></rdf:RDF>