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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14656

Title: Validation of anatomical landmarks-based registration for image-guided surgery: An in-vitro study.
Authors: Sun, Yi
Luebbers, Heinz-Theo
Agbaje, Jimoh Olubanwo
Schepers, Serge
Vrielinck, Luc
Lambrichts, Ivo
Politis, Constantinus
Issue Date: 2013
Abstract: Introduction: Perioperative navigation is a recent addition to orthognatic surgery. This study aimed to evaluate the accuracy of anatmical landmarks-based registration. Materials and methods: Eighty-five holes (1.2 mm diameter) were drilled in the surface of a plastic skull model, which was then scanned using a SkyView cone beam computed tomography scanner. DICOM files were imported into BrainLab ENT 3.0.0 to make a surgical plan. Six anatomical points were selected for registration: the infraorbital foramena, the anterior nasal spine, the crown tips of the upper canines, and the mesial contact point of the upper incisors. Each registration was performed five times by two separate observers (10 times total). Results: The mean target registration error (TRE) in the anterior maxillary/zygomatic region was 0.93 ± 0.31 mm (p < 0.001 compared with other anatomical regions). The only statistically significant inter-observer difference of mean TRE was at the zygomatic arch, but was not clinically relevant. Conclusion: With six anatomical landmarks used, the mean TRE was clinically acceptable in the maxillary/zygomatic region. This registration technique may be used to access occlusal changes during bimaxillary surgery, but should be used with caution in other anatomical regions of the skull because of the large TRE observed.
Notes: Addresses: [ 1 ] St Johans Hosp, B-3600 Genk, Belgium [ 2 ] Hasselt Univ, Fac Med, Diepenbeek, Belgium [ 3 ] Univ Ghent, Fac Med, Ghent, Belgium [ 4 ] Univ Zurich Hosp, Clin Craniomaxillofacial Surg, Zurich, Switzerland E-mail Addresses: constantinus.politis@uhasselt.be
URI: http://hdl.handle.net/1942/14656
DOI: 10.1016/j.jcms.2012.11.017
ISI #: 000324849000011
ISSN: 1010-5182
Category: A1
Type: Journal Contribution
Validation: ecoom, 2014
Appears in Collections: Research publications

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