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"snippet" : true } ], "journal" : { "otype" : "Journal", "mtid" : 10009530, "link" : "/api/journal/10009530", "label" : "BIOMEDICAL ENGINEERING ONLINE 1475-925X 1475-925X", "pIssn" : "1475-925X", "eIssn" : "1475-925X", "reviewType" : "REVIEWED", "noIF" : false, "sciIndexed" : true, "scopusIndexed" : true, "lang" : "FOREIGN", "hungarian" : false, "published" : true, "oldId" : 10009530, "snippet" : true }, "volume" : "11", "issue" : "1", "internalId" : "81", "firstPageOrInternalIdForSort" : "81", "pageLength" : 15, "publishedYear" : 2012, "abstractText" : "Abstract\nBackground\nShape of the dental root canal is highly patient specific. Automated identification methods of the\nmedial line of dental root canals and the reproduction of their 3D shape can be beneficial for\nplanning endodontic interventions as severely curved root canals or multi-rooted teeth may pose\ntreatment challenges. Accurate shape information of the root canals may also be used by\nmanufacturers of endodontic instruments in order to make more efficient clinical tools.\nMethod\nNovel image processing procedures dedicated to the automated detection of the medial axis of the\nroot canal from dental micro-CT and cone-beam CT records are developed. For micro-CT, the 3D\nmodel of the root canal is built up from several hundred parallel cross sections, using image\nenhancement, histogram based fuzzy c-means clustering, center point detection in the segmented\nslice, three dimensional inner surface reconstruction, and potential field driven curve skeleton\nextraction in three dimensions. Cone-beam CT records are processed with image enhancement filters\nand fuzzy chain based regional segmentation, followed by the reconstruction of the root canal\nsurface and detecting its skeleton via a mesh contraction algorithm.\nResults\nThe proposed medial line identification and root canal detection algorithms are validated on clinical\ndata sets. 25 micro-CT and 36 cone-beam-CT records are used in the validation procedure. The\noverall success rate of the automatic dental root canal identification was about 92% in both\nprocedures. The algorithms proved to be accurate enough for endodontic therapy planning.\nConclusions\nAccurate medial line identification and shape detection algorithms of dental root canal have been\ndeveloped. Different procedures are defined for micro-CT and cone-beam CT records. The\nautomated execution of the subsequent processing steps allows easy application of the algorithms in\nthe dental care. The output data of the image processing procedures is suitable for mathematical\nmodeling of the central line. The proposed methods can help automate the preparation and design of\nseveral kinds of endodontic interventions.", "subjects" : [ { "otype" : "Classification", "mtid" : 11027, "link" : "/api/classification/11027", "label" : "Anyagmérnökség", "published" : true, "snippet" : true }, { "otype" : "Classification", "mtid" : 10799, "link" : "/api/classification/10799", "label" : "Egyéb természettudományok", "published" : true, "snippet" : true }, { "otype" : "Classification", "mtid" : 12215, "link" : "/api/classification/12215", "label" : "Klinikai orvostan", "published" : true, "snippet" : true }, { "otype" : "Classification", "mtid" : 12530, "link" : "/api/classification/12530", "label" : "Orvosi biotechnológia", "published" : true, "snippet" : true }, { "otype" : "Classification", "mtid" : 11047, "link" : "/api/classification/11047", "label" : "Orvostechnikai műszaki tudományok", "published" : true, "snippet" : true } ], "digital" : null, "printed" : null, "sourceYear" : 2012, "packet" : "bme-pa-migracio-20014-06-20-v01", "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : false, "nationalOrigin" : true, "missingAuthor" : false, "oaType" : "GOLD", "oaCheckDate" : "2024-02-17", "oaFree" : true, "oaLink" : "https://doi.org/10.1186/1475-925X-11-81", "oaByAuthor" : { "otype" : "Admin", "mtid" : 10039288, "link" : "/api/admin/10039288", "label" : "Szmolyán Mária (BME 4 admin - INAKTÍV)", "familyName" : "Szmolyán", "givenName" : "Mária", "published" : true, "oldId" : 10039288, "snippet" : true }, "citationCount" : 13, "citationCountUnpublished" : 0, "citationCountWoOther" : 13, "independentCitCountWoOther" : 12, "nationalOriginCitationCount" : 0, "foreignEditionCitationCount" : 13, "doiCitationCount" : 12, "wosCitationCount" : 9, "scopusCitationCount" : 8, "wosScopusCitationCount" : 10, "wosScopusCitationCountWoOther" : 10, "wosScopusIndependentCitationCount" : 10, "wosScopusIndependentCitationCountWoOther" : 10, "independentCitationCount" : 12, "selfCitationCount" : 1, "unhandledCitationCount" : 0, "citingPubCount" : 13, "independentCitingPubCount" : 12, "citingPubCountWoOther" : 13, "independentCitingPubCountWoOther" : 12, "unhandledCitingPubCount" : 0, "citedPubCount" : 4, "citedCount" : 4, "ratings" : [ { "otype" : "SjrRating", "mtid" : 5651846, "link" : "/api/sjrrating/5651846", "label" : "sjr:Q2 (2012) Scopus - Biomedical Engineering BIOMEDICAL ENGINEERING ONLINE 1475-925X", "listPos" : 79, "rankValue" : 0.49, "type" : "journal", "ratingType" : { "otype" : "RatingType", "mtid" : 10002, "link" : "/api/ratingtype/10002", "label" : "sjr", "code" : "sjr", "published" : true, "snippet" : true }, "subject" : { "otype" : "ClassificationExternal", "mtid" : 2204, "link" : "/api/classificationexternal/2204", "label" : "Scopus - Biomedical Engineering", "published" : true, "oldId" : 2204, "snippet" : true }, "ranking" : "Q2", "calculation" : "DIRECT", "published" : true, "oldId" : 5651846, "snippet" : true } ], "ratingsForSort" : "Q2", "hasCitationDuplums" : false, "inSelectedPubs" : "10003351", "userChangeableUntil" : "2013-01-09T09:23:14.000+0000", "publishDate" : "2014-06-23T17:04:30.000+0000", "directInstitutesForSort" : "Irányítástechnika és Informatika Tanszék (BME / VIK)", "ownerAuthorCount" : 1, "ownerInstituteCount" : 4, "directInstituteCount" : 1, "authorCount" : 1, "contributorCount" : 0, "hasQualityFactor" : true, "link" : "/api/publication/2688515", "label" : "Balázs Benyó. 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