Robust Automatic C-Arm Calibration for Fluoroscopy-Based Navigation: A Practical Approach
H. Livyatan6
, Z. Yaniv6
and L. Joskowicz6 
| (6) |
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, 91904, Israel |
Abstract
This paper presents a new on-line automatic X-ray fluo-roscopic C-arm calibration method for intraoperative use. C-arm calibration
is an essential prerequisite for accurate X-ray fluoroscopy-based navigation and image-based registration. Our method utilizes
a custom-designed calibration ring with a two-plane pattern of fiducials that attaches to the C-arm image intensifier, and
an on-line calibration algorithm. The algorithm is robust, fully automatic, and works with images containing anatomy and surgical
instruments which cause fiducial occlusions. It consists of three steps: fiducial localization, distortion correction, and
camera calibration. Our experimental results show submillimetric accuracy for calibration and tip localization with occluded
fiducials.
This research was supported in part by a grant from the IZMEL Consortium on Image-Guided Therapy, Israel Ministry of Industry
and Trade. We thank Neil Glossop from Traxtal Technologies for the design and manufacturing of the phantom.
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