2014
DOI: 10.1080/10255842.2014.931549
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A method to study 3D knee pseudo-kinematics using low-dose stereoradiography during static squat

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Cited by 7 publications
(4 citation statements)
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“…For semi-automatic registration, the repeatability of the method was investigated by Kanhonou et al and was shown to be very good with values inferior to 1 mm and 1 • [28]. These values are slightly better than ours which could be expected due to the use of image processing to assist the registration but should be completed by an evaluation of the accuracy in physiologic configurations to ensure the unbiased nature of the measurement.…”
Section: In Vivo Repeatabilitymentioning
confidence: 53%
See 1 more Smart Citation
“…For semi-automatic registration, the repeatability of the method was investigated by Kanhonou et al and was shown to be very good with values inferior to 1 mm and 1 • [28]. These values are slightly better than ours which could be expected due to the use of image processing to assist the registration but should be completed by an evaluation of the accuracy in physiologic configurations to ensure the unbiased nature of the measurement.…”
Section: In Vivo Repeatabilitymentioning
confidence: 53%
“…The registration can be made manually and femoro-tibial joint kinematics derived from this procedure were previously used as a reference to evaluate and compare several tracking methods with marker cluster [25] or to test an automatic process based on image processing [26]. Some authors also proposed a semiautomatic method based on image processing to perform this registration, which has been evaluated in two studies [27,28]. However, in these studies, the quantification of the accuracy of the method relied on the use of simulated radiographs of 3D models virtually positioned in different configurations.…”
Section: Introductionmentioning
confidence: 99%
“…3D meshes of the tibia and femur were also reconstructed from the five biplane radiographs [17][18]. This reconstruction process gives an accuracy of the positions and orientations of the femur and tibia of less than 0.3±0.3° and 0.3±0.2 mm respectively [18]. CT-scan meshes were matched with the corresponded EOS meshes using an iterative closest point algorithm.…”
Section: Image Processing and Knee 3d Kinematicsmentioning
confidence: 99%
“…The quasi-static squat consisted of 4 positions of knee flexion and was standardized with the same proprioceptive jig used during the dynamic squat. The method used to obtain the 3D knee models for these 4 positions is detailed in Kanhonou et al (2014) and presents an accuracy and a precision about 0.3° and 0.3 mm in terms of positions and orientations of knee bones. Calculation of distance maps was the same as detailed above.…”
Section: Validationmentioning
confidence: 99%