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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14260

Title: Automated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods
Authors: Moris, Brecht
Claesen, Luc
Sun, Yi
Politis, Constantinus
Issue Date: 2012
Publisher: IEEE
Citation: Nguyen, Xuan Quynh; Park, Jinwoo; Graglia, Roberto (Ed.). ICCE 2012 The Fourth International Conference on Communications and Electronics, p. 327-332
Abstract: A 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.
URI: http://hdl.handle.net/1942/14260
DOI: 10.1109/CCE.2012.6315922
ISI #: 000310625800063
ISBN: 978-1-4673-2490-8
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2013
Appears in Collections: Research publications

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