Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy |
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| Authors: | Nora Baka Bart L Kaptein J Erik Giphart Marius Staring Marleen de Bruijne Boudewijn PF Lelieveldt Edward Valstar |
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| Institution: | 1. Biomechanics and Imaging Group, Department of Orthopedic Surgery, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands;2. Department of Bio-Medical Engineering, Steadman Philippon Research Institute, Vail, USA;3. Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;4. Departments of Medical Informatics and Radiology, Erasmus Medical Center, Rotterdam, The Netherlands;5. Department of Computer Science, University of Copenhagen, Denmark;6. Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology, The Netherlands |
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| Abstract: | State-of-the-art fluoroscopic knee kinematic analysis methods require the patient-specific bone shapes segmented from CT or MRI. Substituting the patient-specific bone shapes with personalizable models, such as statistical shape models (SSM), could eliminate the CT/MRI acquisitions, and thereby decrease costs and radiation dose (when eliminating CT). SSM based kinematics, however, have not yet been evaluated on clinically relevant joint motion parameters. |
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| Keywords: | Tracking SSM Femur Tibia 2D/3D reconstruction |
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