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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Livyatan, H., Yaniv, Z., Joskowicz, L. (2002). Robust Automatic C-Arm Calibration for Fluoroscopy-Based Navigation: A Practical Approach. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45787-9_8
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DOI: https://doi.org/10.1007/3-540-45787-9_8
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