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A web-based instruction module for interpretation of craniofacial cone beam CT anatomy

¹ Oral Imaging Centre, Faculty of Medicine, Kuleuven University, Leuven, Belgium; ² Radiology and Imaging Sciences, Department of Surgical and Hospital Dentistry, University of Louisville, Louisville, KY, USA

*Correspondence to: Professor Reinhilde Jacobs, Oral Imaging Centre, School for Dentistry, Oral Pathology and Maxillofacial Surgery, Katholieke Universiteit Leuven, Kapucijenvoer 7, B-3000 Leuven, Belgium; Email: reinhilde.jacobs{at}uz.kuleuven.ac.be

Received 17 May 2006; revised 29 August 2006; accepted 12 September 2006

Objectives: To develop a web-based module for learner instruction in the interpretation and recognition of osseous anatomy on craniofacial cone-beam CT (CBCT) images.

Methods: Volumetric datasets from three CBCT systems were acquired (i-CAT, NewTom 3G and AccuiTomo FPD) for various subjects using equipment-specific scanning protocols. The datasets were processed using multiple software to provide two-dimensional (2D) multiplanar reformatted (MPR) images (e.g. sagittal, coronal and axial) and three-dimensional (3D) visual representations (e.g. maximum intensity projection, minimum intensity projection, ray sum, surface and volume rendering). Distinct didactic modules which illustrate the principles of CBCT systems, guided navigation of the volumetric dataset, and anatomic correlation of 3D models and 2D MPR graphics were developed using a hybrid combination of web authoring and image analysis techniques. Interactive web multimedia instruction was facilitated by the use of dynamic highlighting and labelling, and rendered video illustrations, supplemented with didactic textual material. HTML coding and Java scripting were heavily implemented for the blending of the educational modules.

Results: An interactive, multimedia educational tool for visualizing the morphology and interrelationships of osseous craniofacial anatomy, as depicted on CBCT MPR and 3D images, was designed and implemented.

Conclusions: The present design of a web-based instruction module may assist radiologists and clinicians in learning how to recognize and interpret the craniofacial anatomy of CBCT based images more efficiently.

Keywords: cone beam computed tomography, computer assisted learning; web based education