Abstract
Camera-based navigation in the hybrid operating room represents apossibility for precise, low-complication and efficient pedicle screw insertion in spinal surgery. In addition to increasing patient safety, the use of camera-based navigation as an orientation aid for the surgeon reduces radiation exposure. Camera-based navigation focuses on the surgeon's anatomical knowledge of landmarks, preoperative image acquisition, and subsequent information integration by the navigation software. The information provided from volume tomography (cone beam computed tomography, CBCT) and surface referencing through the video input from four optical cameras and the associated surface markers is collected, processed, optimized and customized by the software used. The result is the creation of atrajectory that allows the surgeon to analyze and evaluate complex anatomical structures more easily and facilitates the performance of the planned procedure. Minimally invasive insertion of pedicle screws using surface-reference navigation (augmented reality surgical navigation; ARSN) provides comparable accuracy to conventional fluoroscopic insertion of pedicle screws while reducing radiation by eliminating the need for postoperative computed tomographic imaging.
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