Model-based 3D-fluoroscopy can quantify joint kinematics with 1mm and 1 deg accuracy level. A calibration based on the acquisition of devices of known geometry is usually applied to size the system. This study aimed at quantifying the sensitivity of the fluoroscopic pose estimation accuracy specifically to errors in the calibration process, excluding other sources of error. X-ray focus calibration error was quantified for different calibration setups, and its propagation to the pose estimation was characterized insilico. Focus reference position influenced the calibration error dispersion, while calibration cage pose affected its bias. In the worst-case scenario, the estimation error of the principal point and of the focus distance was lower than 1mm and 2 mm, respectively. The consequent estimation of joint angles was scarcely influenced by calibration errors. A linear trend was highlighted for joint translations, with a sensitivity proportional to the distance between the model and the image plane, resulting in a submillimeter error for realistic calibration errors. The biased component of the error is compensated when computing relative joint kinematics between two segments. Copyright © 2014 by ASME.
Tersi L., Stagni R. (2014). Effect of Calibration Error on Bone Tracking Accuracy With Fluoroscopy. JOURNAL OF BIOMECHANICAL ENGINEERING, 136(5), 1-5 [10.1115/1.4027058].
Effect of Calibration Error on Bone Tracking Accuracy With Fluoroscopy
TERSI, LUCA;STAGNI, RITA
2014
Abstract
Model-based 3D-fluoroscopy can quantify joint kinematics with 1mm and 1 deg accuracy level. A calibration based on the acquisition of devices of known geometry is usually applied to size the system. This study aimed at quantifying the sensitivity of the fluoroscopic pose estimation accuracy specifically to errors in the calibration process, excluding other sources of error. X-ray focus calibration error was quantified for different calibration setups, and its propagation to the pose estimation was characterized insilico. Focus reference position influenced the calibration error dispersion, while calibration cage pose affected its bias. In the worst-case scenario, the estimation error of the principal point and of the focus distance was lower than 1mm and 2 mm, respectively. The consequent estimation of joint angles was scarcely influenced by calibration errors. A linear trend was highlighted for joint translations, with a sensitivity proportional to the distance between the model and the image plane, resulting in a submillimeter error for realistic calibration errors. The biased component of the error is compensated when computing relative joint kinematics between two segments. Copyright © 2014 by ASME.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.