<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-N2G5JKE9/60fdc740-7574-4987-906f-472895644468/PDF"><dcterms:extent>573 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-N2G5JKE9/3f3cee1e-dc17-402d-b2cf-38ac2a8336d2/TEXT"><dcterms:extent>15 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="1992-2025"><edm:begin xml:lang="en">1992</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-N2G5JKE9"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-FNIFVE9S" /><dcterms:issued>2000</dcterms:issued><dc:creator>Falco, Tomy</dc:creator><dc:creator>Fallone, Biagio Gino</dc:creator><dc:format xml:lang="sl">letnik:34</dc:format><dc:format xml:lang="sl">številka:4</dc:format><dc:format xml:lang="sl">str. 375-380</dc:format><dc:identifier>COBISSID:12587225</dc:identifier><dc:identifier>ISSN:1318-2099</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-N2G5JKE9</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Croatian Medical Association - Croatian Society of Radiology</dc:publisher><dc:publisher xml:lang="sl">Slovenian Medical Society - Section of Radiology</dc:publisher><dcterms:isPartOf xml:lang="sl">Radiology and oncology (Ljubljana)</dcterms:isPartOf><dc:subject xml:lang="sl">Linear models</dc:subject><dc:subject xml:lang="sl">Logistic models</dc:subject><dc:subject xml:lang="sl">Radiographic image enhancement</dc:subject><dc:subject xml:lang="sl">Radiotherapy, high-energy</dc:subject><dcterms:temporal rdf:resource="1992-2025" /><dc:title xml:lang="sl">Logit modeling of the modulation transfer function (MTF) of metal/film portal detectors| Analiza modulacijske prenosne funkcije za kovinske filmske slikovne detektorjes pomočjo logit modeliranja|</dc:title><dc:description xml:lang="sl">Background. Logit analysis is used to fit measured Modulation Transfer Function (MTF) data of frontmetal/film detectors at megavoltage energies. The detectors consist of double-emulsion portal film placed abutting front metal-plates of Copper or Lead ranging in thickness from 0.39 to 2.40 mm. The MTF data reported by other investigators is also analyzed and authenticates this type of modeling. The logit function predicts the MTF to within experimental uncertainty and the weighted linear regression analysis demonstrates that the fitting is successful with high correlation coefficient:-0.999&lt;-r&lt;--0.995. The logit function parameterizes the MTF with two regression parameters, a and b. These parameters exhibit a linear relationship with the front-plate mass thickness greater than the maximum range of electrons. Conclusions. The logit fitting analysis allows the calculation of the MTF for metal-plates that can be used in the design of the front-end of electronic portal imaging devices</dc:description><dc:description xml:lang="sl">Izhodišča. Logit analizo uporabljamo za prilaganje izmerjenih podatkov modulacijske prenosne funkcije (MTF) za kovinske filmske detektorje v območju megavoltnih energij. Detektorji so sestavljeni iz rtg filma z dvojno emulzijo in frontalnih bakrenih in svinčenih kovinskih plošč z debelinami od 0,39 mm do2,40 mm. Analizirani so bili tudi MTF podatki drugih raziskovalcev. Logit funkcija napoveduje MTF znotraj eksperimentalne nenatančnosti, utežena linearna regresija pa pokaže, da je prilagajanje uspešno z visokim korelacijskim koeficientom:-0.999&lt;-r&lt;--0.995. Logit funkcija parametrizirana MTF z dvema regresijskima faktorjema, a in b. Parametra kažeta linearno odvisnost, če je masna debelina frontalne kovinske plošče večja od maksimalnega dosega elektronov. Zaključki. Analiza logit prilagajanja nam dovoljuje izračun MTF za kovinske plošče, kar lahko uporabimo pri izdelavi prednjega dela elektronskih slikovnih naprav</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:doc-N2G5JKE9"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-N2G5JKE9" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-N2G5JKE9/60fdc740-7574-4987-906f-472895644468/PDF" /><edm:rights rdf:resource="http://rightsstatements.org/vocab/InC/1.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Onkološki inštitut Ljubljana</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-N2G5JKE9/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-N2G5JKE9" /></ore:Aggregation></rdf:RDF>