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Title: Alveolar Nerve Unfolding Technique for Synoptic Analysis: Visualization and Quantification of Inferior Alveolar Nerve Tracings in Three-dimensional Cone-Beam Computed Tomography
Authors: Jacquet, Wolfgang
Nyssen, Edgard
SUN, Yi 
De Munter, Stephanie
Sijbers, Jan
POLITIS, Constantinus 
Issue Date: 2013
Abstract: The aim of the technique presented here is to visualize the anatomical context of the inferior alveolar nerve (IAN) canal. For 2 cases, cone-beam computed tomography images of the mandible were obtained from patient files together with the manual preoperative IAN canal tracings. For both cases, similar to simulated panoramic images, a two-dimensional image is extracted from a three-dimensional cone-beam computed tomography image. Unlike panoramic images, the unfolding does not follow the general curvature of the mandible but follows the nerve tracing closely and places the traced nerve track on a horizontal central line. Because of the centering of the nerve tracing together with the nerve canal and its surroundings in a two-dimensional representation, the technique (ANUTSA [Alveolar Nerve Unfolding Technique for Synoptic Analysis]) allowed the first case to evidence the adjacency of root tips along the IAN, whereas in the second case the degree of penetration of the IAN by an implant is revealed. The global aspect of the representation through unfolding allowed for the detection of the anomalies and the IAN-penetrating lesion along the IAN canal at a glance.
Notes: [Jacquet, Wolfgang] Univ Antwerp, Dept Phys, Vis Lab, B-2610 Antwerp, Belgium. [Nyssen, Edgard] Vrije Univ Brussel, Fac Engn Sci, Dept Elect & Informat, Brussels, Belgium. [Sun, Yi; De Munter, Stephanie; Politis, Constantinus] Hasselt Univ, Fac Med, MORFO, Diepenbeek, Belgium. [Sijbers, Jan] Univ Antwerp, Dept Phys, Vis Lab, Fac Sci, B-2610 Antwerp, Belgium. [Politis, Constantinus] St Johns Hosp, Genk, Belgium.
Keywords: CBCT; inferior alveolar nerve (IAN); ANUTSA; imaging;Surgery
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ISSN: 1049-2275
e-ISSN: 1536-3732
DOI: 10.1097/SCS.0b013e3182903013
ISI #: 000330129000022
Category: A1
Type: Journal Contribution
Validations: ecoom 2015
Appears in Collections:Research publications

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