Robust automatic detection and removal of fiducial projections in fluoroscopy images: an integrated solution

Medical Engineering & Physics
Guoyan Zheng, Xuan Zhang

Abstract

Automatic detection and removal of fiducial projections in fluoroscopy images is an essential prerequisite for C-arm calibration. This paper presents an integrated solution to fulfill this task. A custom-designed calibration cage with a two-plane pattern of fiducials is utilized in our solution. The cage is attached to the C-arm image intensifier and acquired images are calibrated automatically by a three-step on-line calibration algorithm including fiducial projection detection, image calibration, and fiducial projection removal. A sequence of carefully designed image processing operations consisting of image binarization, connected-component labeling, region classification, adaptive template matching, and shape analysis, are developed for an accurate and robust localization of fiducial projections. A similarity measure that is proposed previously for image-based 2D-3D registration is employed in the adaptive template matching to improve the detection accuracy. Shape analysis based on the design information of the calibration cage is used to further improve the robustness of the detection. Thin-plate spline based vector transforms are used to correct the image distortion. The detected fiducial projections are then removed by a...Continue Reading

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Citations

Jul 6, 2014·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·A BertelsenD Borro
Apr 1, 2018·The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS·Junqiang WangYubo Fan
Jan 20, 2021·The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS·Hooman EsfandiariAntony J Hodgson

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