DocumentCode :
793141
Title :
Precise robot-assisted guide positioning for distal locking of intramedullary nails
Author :
Yaniv, Ziv ; Joskowicz, Leo
Author_Institution :
Dept. of Radiol., Georgetown Univ., Washington, DC, USA
Volume :
24
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
624
Lastpage :
635
Abstract :
This paper presents a novel image-guided robot-based system to assist orthopedic surgeons in performing distal locking of long bone intramedullary nails. The system consists of a bone-mounted miniature robot fitted with a drill guide that provides rigid mechanical guidance for hand-held drilling of the distal screws´ pilot holes. The robot is automatically positioned so that the drill guide and nail distal locking axes coincide, using a single fluoroscopic X-ray image. Since the robot is rigidly attached to the intramedullary nail or bone, no leg immobilization or real-time tracking is required. We describe the system and protocol and present a method for accurate and robust drill guide and nail hole localization and registration. The in vitro system accuracy experiments for fronto-parallel viewing show a mean angular error of 1.3° (std=0.4°) between the computed drill guide axes and the actual locking holes axes, and a mean 3.0 mm error (std=1.1mm) in the entry and exit drill point, which is adequate for successfully locking the nail.
Keywords :
bone; diagnostic radiography; medical robotics; orthopaedics; surgery; bone-mounted miniature robot; distal locking; fluoroscopic X-ray image; fronto-parallel viewing; image-guided robot-based system; long bone intramedullary nails; nail hole localization; nail hole registration; orthopedic surgeons; precise robot-assisted guide positioning; robust drill guide; Bones; Drilling; Fasteners; Leg; Legged locomotion; Nails; Orthopedic surgery; Robotics and automation; Robots; X-ray imaging; Fluoroscopic X-ray; pose-estimation; robot guidance; Algorithms; Artificial Intelligence; Bone Nails; Equipment Design; Equipment Failure Analysis; Fracture Fixation, Internal; Humans; Prosthesis Implantation; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Robotics; Sensitivity and Specificity; Surgery, Computer-Assisted;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2005.844922
Filename :
1425669
Link To Document :
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