The sensitivity of an anatomical coordinate system to anatomical variation and its effect on the description of knee kinematics as obtained from dynamic CT imaging.

Kwong, 2015, Four-dimensional computed tomography (4DCT): A review of the current status and applications, J Med Imaging Radiat Oncol, 59, 545, 10.1111/1754-9485.12326 Woltring, 1985, Finite centroid and helical axis estimation from noisy landmark measurements in the study of human joint kinematics, J Biomech, 18, 379, 10.1016/0021-9290(85)90293-3 Blankevoort, 1990, Helical axes of passive knee joint motions, J Biomech, 23, 1219, 10.1016/0021-9290(90)90379-H Reichl, 2013, Finite helical axis versus symmetrical axis of rotation approach for the human knee joint: squats, rowing and cycling, Comput Methods Biomech Biomed Engin, 16, 109, 10.1080/10255842.2013.815943 Sheehan, 2007, The finite helical axis of the knee joint (a non-invasive in vivo study using fast-PC MRI), J Biomech, 40, 1038, 10.1016/j.jbiomech.2006.04.006 Cui, 2015, Extraction of anatomical landmarks and axis for 3D coordinate system construction of femur and tibia bone models, Osteoarthr Cartil, 23, A246, 10.1016/j.joca.2015.02.454 Miranda, 2010, Automatic determination of anatomical coordinate systems for three-dimensional bone models of the isolated human knee, J Biomech, 43, 1623, 10.1016/j.jbiomech.2010.01.036 Renault, 2018, Articular-surface-based automatic anatomical coordinate systems for the knee bones, J Biomech, 80, 171, 10.1016/j.jbiomech.2018.08.028 Marin, 2004, Finite helical axes of motion are a useful tool to describe the three-dimensional in vitro kinematics of the intact, injured and stabilised spine, Eur Spine J, 13, 553, 10.1007/s00586-004-0710-8 Lenz, 2008, The effects of femoral fixed body coordinate system definition on knee kinematic description, J Biomech Eng, 130, 1, 10.1115/1.2898713 Kedgley, 2015, The effect of coordinate system variation on in vivo patellofemoral kinematic measures, Knee, 22, 88, 10.1016/j.knee.2014.11.006 Morton, 2007, Effect of Variability in Anatomical Landmark Location on Knee Kinematic Description, J Orthop Res, 9 Li, 2018, Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes, IEEE Trans Med Imaging, 37, 2663, 10.1109/TMI.2018.2845918 Myronenko, 2010, Point Set Registration: Coherent Point Drift, IEEE Trans Pattern Anal Mach Intell, 32, 2262, 10.1109/TPAMI.2010.46 Van Dijck, 2018, Sta0tistical shape model-based prediction of tibiofemoral cartilage, Comput Methods Biomech Biomed Engin, 21, 568, 10.1080/10255842.2018.1495711 Clogenson, 2014, A statistical shape model of the human second cervical vertebra, Int J Comput Assist Radiol Surg, 10, 1097, 10.1007/s11548-014-1121-x Lu, 2013, Statistical shape analysis of clavicular cortical bone with applications to the development of mean and boundary shape models, Comput Methods Programs Biomed, 111, 613, 10.1016/j.cmpb.2013.05.017 Chen, 2020, A robust and semi-automatic quantitative measurement of patellofemoral instability based on four dimensional computed, Med Eng Phys, 78, 29, 10.1016/j.medengphy.2020.01.012 Grood, 1983, A joint coordinate system for the clinical description of three-dimensional motions: Application to the knee, J Biomech Eng, 105, 136, 10.1115/1.3138397 Quintens, 2019, Anatomical Variation of the Tibia – a Principal Component Analysis, Sci Rep, 9, 1, 10.1038/s41598-019-44092-8 Mahfouz, 2012, Three-dimensional morphology of the knee reveals ethnic differences, Clin Orthop Relat Res, 470, 172, 10.1007/s11999-011-2089-2 Kim, 2017, What Differences in Morphologic Features of the Knee Exist Among Patients of Various Races? A Systematic Review, Clin Orthop Relat Res, 475, 170, 10.1007/s11999-016-5097-4