<?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-28YH8DRJ/424a8fbe-ff2e-4d1d-a424-9ec1061b8a84/HTML"><dcterms:extent>48 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-28YH8DRJ/52232a1b-6c29-4002-8e80-e36168699dd5/PDF"><dcterms:extent>386 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-28YH8DRJ/9d610b8f-6f7e-4ceb-a700-558108fafbac/TEXT"><dcterms:extent>30 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2000-2024"><edm:begin xml:lang="en">2000</edm:begin><edm:end xml:lang="en">2024</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-28YH8DRJ"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/urn:nbn:si:spr-fzwbu7gu" /><dcterms:issued>2003</dcterms:issued><dc:creator>Angulo, Jesús</dc:creator><dc:creator>Drüeke, Tilman B.</dc:creator><dc:creator>Massy, Ziad A</dc:creator><dc:creator>Nguyen-Khoa, Thao</dc:creator><dc:creator>Serra, Jean Paul</dc:creator><dc:format xml:lang="sl">številka:2</dc:format><dc:format xml:lang="sl">letnik:22</dc:format><dc:format xml:lang="sl">9 strani</dc:format><dc:format xml:lang="sl">str. 81-89</dc:format><dc:identifier>ISSN:1580-3139</dc:identifier><dc:identifier>COBISSID:16595161</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-28YH8DRJ</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta</dc:publisher><dcterms:isPartOf xml:lang="sl">Image analysis and stereology</dcterms:isPartOf><dc:subject xml:lang="en">Anatomy And Histology</dc:subject><dc:subject xml:lang="sl">Aorta</dc:subject><dc:subject xml:lang="sl">ateroskleroza</dc:subject><dc:subject xml:lang="en">Atherosclerosis</dc:subject><dc:subject xml:lang="en">Calcinosis</dc:subject><dc:subject xml:lang="en">Image Processing, Computer-Assisted</dc:subject><dc:subject xml:lang="sl">Kalcinoza</dc:subject><dc:subject xml:lang="en">Kidney Failure, Chronic</dc:subject><dc:subject xml:lang="sl">Ledvica, odpoved kronična</dc:subject><dc:subject xml:lang="sl">ledvice</dc:subject><dc:subject xml:lang="en">Mice, Knockout</dc:subject><dc:subject xml:lang="sl">miši</dc:subject><dc:subject xml:lang="sl">Miši Knockout</dc:subject><dc:subject xml:lang="en">Pathology</dc:subject><dc:subject xml:lang="en">Silver Staining</dc:subject><dc:subject xml:lang="sl">Slika, obdelava z računalnikom</dc:subject><dc:subject xml:lang="sl">Srebrenje</dc:subject><dc:subject rdf:resource="http://www.wikidata.org/entity/Q9377" /><dcterms:temporal rdf:resource="2000-2024" /><dc:title xml:lang="sl">Morphological quantification of aortic calcification from low magnification images|</dc:title><dc:description xml:lang="sl">Atherosclerotic and medial vascular calci cations are frequent in chronic renal failure patiens and predict their increased cardiovascular mortality. Experimental models for mice have been recently developed in order to study these disorders. The aim of this paper is to present the morphological image processing algorithms developed for the semi-automated measurement of calci cation from sections of aorta stained using von Kossa's silver nitrate procedure and acquired at low magni cation power (x 2.5) on colour images. Theapproach is separated into two sequential phases. First, the segmentation is aimed to extract the calci cation structures and on the other hand to demarcate the region of the atherosclerotic lesion within the tissue. The segmentation yields the image data which is the input to the second phase, thequanti cation. Calci ed structures are measured inside and outside the lesion using a granulometric curve which allows the calculation of statisticalparameters of size. The same operator computes the shape of the lesion. The relative proportion of the area of calci cation is also calculatedrespectively for the atherosclerotic lesion area and the area outside such lesions. In conclusion, the here developed method allows quanti cation of vascular calci ed deposits in mouse aorta. This method will be useful for the quantitative assessment of pathological vascular changes in animals and man</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-28YH8DRJ"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-28YH8DRJ" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-28YH8DRJ/52232a1b-6c29-4002-8e80-e36168699dd5/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">Društvo za stereologijo in kvantitativno analizo slike</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-28YH8DRJ/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-28YH8DRJ" /></ore:Aggregation></rdf:RDF>