Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14260
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dc.contributor.authorMoris, Brecht-
dc.contributor.authorCLAESEN, Luc-
dc.contributor.authorSUN, Yi-
dc.contributor.authorPOLITIS, Constantinus-
dc.date.accessioned2012-10-19T11:41:47Z-
dc.date.available2012-10-19T11:41:47Z-
dc.date.issued2012-
dc.identifier.citationNguyen, Xuan Quynh; Park, Jinwoo; Graglia, Roberto (Ed.). ICCE 2012 The Fourth International Conference on Communications and Electronics, p. 327-332-
dc.identifier.isbn978-1-4673-2490-8-
dc.identifier.urihttp://hdl.handle.net/1942/14260-
dc.description.abstractA method for the automated tracking of the mandibular canal in Cone Beam Computed Tomography images is presented. In contrast to most proposed methods a fully automated method is presented including the detection of the mental and mandibular foramen. Extraction of these points is done by searching for high-contrast gaps in the mandible. The path of the mandibular canal can then be tracked in between these two points using a matching technique consisting of a template function which maps spatial coordinates to a cost. The robustness of the tracking is increased by recursively tracking multiple hypotheses.-
dc.language.isoen-
dc.publisherIEEE-
dc.subject.othermandibular surgery; computer vision; CBCT; Cone Beam Tomography; alveolar nerve-
dc.titleAutomated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsNguyen, Xuan Quynh-
local.bibliographicCitation.authorsPark, Jinwoo-
local.bibliographicCitation.authorsGraglia, Roberto-
local.bibliographicCitation.conferencedate1-3 August 2012-
local.bibliographicCitation.conferencenameThe Fourth International Conference on Communications and Electronics IEEE ICCE 2012-
local.bibliographicCitation.conferenceplaceHue Royal City, Vietnam-
dc.identifier.epage332-
dc.identifier.spage327-
local.bibliographicCitation.jcatC1-
local.publisher.placePiscataway, NJ, USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
dc.identifier.doi10.1109/CCE.2012.6315922-
dc.identifier.isi000310625800063-
local.bibliographicCitation.btitleICCE 2012 The Fourth International Conference on Communications and Electronics-
item.accessRightsOpen Access-
item.contributorMoris, Brecht-
item.contributorCLAESEN, Luc-
item.contributorSUN, Yi-
item.contributorPOLITIS, Constantinus-
item.fulltextWith Fulltext-
item.fullcitationMoris, Brecht; CLAESEN, Luc; SUN, Yi & POLITIS, Constantinus (2012) Automated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods. In: Nguyen, Xuan Quynh; Park, Jinwoo; Graglia, Roberto (Ed.). ICCE 2012 The Fourth International Conference on Communications and Electronics, p. 327-332.-
item.validationecoom 2013-
Appears in Collections:Research publications
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