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- W1535831710 abstract "Accurate measurement of knee function is essential for monitoring joint degeneration and evaluating treatment methods. Motion analysis techniques are commonly used to generate in-vivo kinematic data. Image registration techniques can be used to more accurately measure knee kinematics by registering 3D bone models or 3D CAD implant models to 2D fluoroscopic images. 3D in-vivo kinematics of the knee were quantified and compared using two techniques; markerbased motion analysis and image registration. 5 healthy knees and 5 TKR knees were examined for a step up/down task using dynamic fluoroscopy and motion capture. Fine MRI scans of the knee and coarse scans of the femur and tibia were performed on the 5 healthy subjects. These were subsequently segmented using ScanIP (Simpleware) to produce 3D bone models. Registration of the bone models produced from fine and coarse scan data was used to produce bony axes for the femoral and tibial models. Tibial and femoral component CAD models were obtained for the 5 TKR patients. The 3D knee solid models and the TKR CAD models were then registered to a series of frames from the 2D fluoroscopic image data obtained for the 10 subjects, using KneeTrack (S. Banks, Florida) to produce kinematic waveforms. The same subjects were also recorded whilst performing the same action using the same step, using a Qualisys (Sweden) motion capture system with a pointer and marker cluster based technique developed to quantify the knee kinematics. The study demonstrated that MRI can be used as a noninvasive tool for developing segmented 3D bone models, thus avoiding the highly invasive effects of CT scanning on healthy volunteers. In fusing markerbased motion capture with image based registration techniques, the outputs can now be compared for the two methods in order to quantify the errors associated with measuring knee kinematics using marker based motion capture. KeywordsImage registration; bone models; MRI; knee kinematics; total knee replacement" @default.
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- W1535831710 date "2008-01-01" @default.
- W1535831710 modified "2023-09-26" @default.
- W1535831710 title "Fusing marker-based motion capture with image registration to study the errors associated with quantifying knee kinematics" @default.
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