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Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty

Cong Gao, Robert B. Grupp, Mathias Unberath, Russell H. Taylor, Mehran Armand

Year
2020
Citations
14

Abstract

Femroplasty is a proposed therapeutic method for preventing osteoporotic hip fractures in elderly. Patientspecific femoroplasty based on a preoperative plan, however, requires accurate 3D pose estimation of the proximal femur. Prior work on the development of a navigation system required the attachment of an optical fiducial to the osteoporotic femur. In this paper, we propose a fiducial-free 2D/3D registration pipeline, which uses the pelvis to initialize the femur registration. Intraoperative X-ray images are taken from multiple views to perform compound object registration. The proposed method was tested through a comprehensive simulation study. Performance was evaluated on the femoral head center frame registration error and the injection entry point error on the trochanter surface. The algorithm achieved a mean accuracy of 2.75 &plusmn; 2.19 mm for the entry point &ell;<sub>2</sub> distance and 0.81 &plusmn; 0.58&deg; for the planning path direction, which is sufficiently accurate for robotic drill positioning.

Keywords

Fiducial markerComputer visionComputer scienceArtificial intelligenceFemurImage registrationPelvisPoint (geometry)MedicineMathematics

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