Multi-body 3D–2D registration for image-guided reduction of pelvic dislocation in orthopaedic trauma surgery
Runze Han, Ali Uneri, Michael D. Ketcha, Rohan C. Vijayan, Niral Sheth, Pengwei Wu, Prasad Vagdargi, Sebastian Vogt, Gerhard Kleinszig, Greg Osgood, J. H. Siewerdsen
Abstract
(at the image plane). The method demonstrated accurate estimation of the target reduction pose in simulation, phantom, and a clinical feasibility study for a broad range of dislocation patterns, initialization error, dose levels, and FOV size. The system provides a novel means of guidance and assessment of pelvic reduction from routinely acquired preoperative CT and intraoperative fluoroscopy. The method has the potential to reduce radiation dose by minimizing trial-and-error and to improve outcomes by guiding more accurate reduction of joint dislocations.
Topics & Concepts
FluoroscopyMedicineReduction (mathematics)InitializationImage registrationImaging phantomRadiologyNuclear medicineArtificial intelligenceComputer visionComputer scienceImage (mathematics)MathematicsProgramming languageGeometryPelvic and Acetabular InjuriesMedical Imaging and AnalysisHip disorders and treatments