Abstract
Image-guided neurosurgery systems (IGNS) play an important role in intracranial surgery. Adhesive markers on the skin are widely used for patient-to-image registration, with the centers of these markers serving as fiducial points in point-pair registration. In this paper, we propose a novel algorithm to automatically locate the center of these markers. The algorithm compares the marker model and the surface patches from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) images of the patient’s head. Automatic localization of these centers will help to reduce the human error in registration and speed up the registration process. Experiments with clinical 3D CT and MRI data confirm that this algorithm can accurately locate the centers of these markers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
