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Automatic measurements of image geometry for online calibration of C‐arm fluoroscopy
Author(s) -
Archip Neculai,
Rohling Robert
Publication year - 2004
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1781331
Subject(s) - fluoroscopy , fiducial marker , calibration , robustness (evolution) , computer science , artificial intelligence , image registration , geometry , computer vision , radius , image (mathematics) , mathematics , medicine , radiology , biochemistry , statistics , chemistry , computer security , gene
Calibrated C‐arm fluoroscopy is used for a variety of surgical procedures where surgical tools and anatomical structures need to be located in space. Calibration can be performed online by combining measurements of the geometry of the image (center and radius) with measurements of a grid of fiducial markers. This article focuses on the first aspect—image geometry—and describes a method to perform the geometry measurements automatically. The accuracy, robustness, and speed of the method are validated on 100 images obtained from several hospitals with different C‐arm scanners. All 100 images were successfully measured with an average error of 0.8 mm for the center and 0.8 mm for the radius. The execution time is less than one second per image.