Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration

• Published in: arXiv.org
• Main Authors: Grupp, Robert, Unberath, Mathias, Gao, Cong, Hegeman, Rachel, Murphy, Ryan, Clayton, Alexander, Otake, Yoshito, McArthur, Benjamin, Mehran Armand, Taylor, Russell
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 18.03.2020
• Subjects: Anatomy; Annotations; Computer Science - Computer Vision and Pattern Recognition; Fluoroscopic imaging; Hip; Joint replacement surgery; Labels; Navigation; Neural networks; Pelvis; Registration; Robustness; Workflow

Fluoroscopy is the standard imaging modality used to guide hip surgery and is therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the complex registration problems presented during navigation, human-assisted annotations of the intraoperative image are typically...