Automatic detection of fiducial markers in fluoroscopy images for on-line calibration.

Calibrated C-arm fluoroscopy is used for a variety of medical procedures where objects and anatomical structures need to be located in space. Calibration is often based on imaging a grid of fiducial markers and using the C-arm image's geometrical measurements (radius and center) together with the positions of the markers. An on-line technique is developed to automatically locate the fiducial markers and validated on 97 images. The success rate of the detection algorithm is 96.28% with an average error of 0.46mm and a standard deviation of 0.32mm.

[1]  Yongmin Kim,et al.  Fast template matching using correlation‐based adaptive predictive search , 2003, Int. J. Imaging Syst. Technol..

[2]  S. Pathak,et al.  Ultrasonography and fluoroscopic fusion for prostate brachytherapy dosimetry. , 2002, International journal of radiation oncology, biology, physics.

[3]  A Gueziec,et al.  A C-arm fluoroscopy-guided progressive cut refinement strategy using a surgical robot. , 2000, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[4]  Robert Rohling,et al.  Automatic measurements of image geometry for online calibration of C-arm fluoroscopy. , 2004, Medical physics.

[5]  L P Nolte,et al.  Fluoroscopy as an imaging means for computer-assisted surgical navigation. , 1999, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[6]  N. Otsu A threshold selection method from gray level histograms , 1979 .