Simulation de radiographies à partir d'images tomodensitométriques pour l'enseignement de l'anatomie radiographique en médecine vétérinaire
Understanding radiographic anatomy, which is intimately linked to the comprehension of tridimensional anatomy and the impact of patient, radiographic tube and x-ray detector positioning, represents a challenge for students. Traditionally, radiographs obtained under specific angles of projection have been used for teaching radiographic anatomy. Computed tomography (CT) shares several features with radiography with regard to image production. A plug-in was developed for a DICOM viewer (ORS visual  ©) simulating radiographs using CT datasets. This plug-in distorts the CT image matrix to reproduce the magnification and distortion effects that take place in radiographs due to the variations in radiographic tube, patient and detector positioning and angulation. In order to test this model, specific body parts of two dogs, one cat and one horse were radiographed and CT-scanned. The CT datasets were used to generate a total of nine series of radiographic simulations that could be compared to corresponding standard radiographic projections.  Ten board-certified veterinary radiologists blindly scored several parameters in these image series, including the visualization of specific anatomical landmarks, image realism and quality, patient positioning, and the educational potential for students and veterinarians of variable degree of veterinary training Overall results indicate that simulated radiographs are representative enough to be used to teach several concepts of image formation and radiographic anatomy in veterinary radiology.
Radiographic anatomy Radiographic simulation Computed tomography Radiography Simulator Teaching