Open AccessAutomatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT
Author(s) -
Axel Sahovaler,
Axel Sahovaler,
Harley Chan,
Prakash Nayak,
Sharon Tzelnick,
Michelle Arkhangorodsky,
Jimmy Qiu,
Robert Weersink,
Jonathan C. Irish,
Peter C. Ferguson,
Jay S. Wunder
Publication year - 2022
Publication title -
jb and js open access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.786
H-Index - 3
ISSN - 2472-7245
DOI - 10.2106/jbjs.oa.21.00140
Subject(s) - cone beam computed tomography , fiducial marker , medicine , patient registration , image registration , computer vision , image guided surgery , artificial intelligence , nuclear medicine , radiology , computer science , computed tomography , image (mathematics)
Computer-assisted surgery (CAS) can improve surgical precision in orthopaedic oncology. Accurate alignment of the patient's imaging coordinates with the anatomy, known as registration, is one of the most challenging aspects of CAS and can be associated with substantial error. Using intraoperative, on-the-table, cone-beam computed tomography (CBCT), we performed a pilot clinical study to validate a method for automatic intraoperative registration.