An autonomous X-ray image acquisition and interpretation system for assisting percutaneous pelvic fracture fixation

Benjamin D. Killeen, Cong Gao, Kanyifeechukwu Jane Oguine, Sean Darcy, Mehran Armand, Russell H. Taylor, Greg Osgood, Mathias Unberath

Abstract: Percutaneous fracture fixation involves multiple X-ray acquisitions to determine adequate tool trajectories in bony anatomy. In order to reduce time spent adjusting the X-ray imager’s gantry, avoid excess acquisitions, and anticipate inadequate trajectories before penetrating bone, we propose an autonomous system for intra-operative feedback that combines robotic X-ray imaging and machine learning for automated image acquisition and interpretation, respectively.

External IDs:dblp:journals/cars/KilleenGODATOU23