Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint

• Published in: Annals of biomedical engineering Vol. 53; no. 3; pp. 549 - 561
• Main Authors: Deng, Ruoqi, Bruce, Olivia L., Gibbons, Kalin D., Fitzpatrick, Clare K., Li, LePing
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.03.2025; Springer Nature B.V
• Subjects: Adult; Biochemistry; Biological and Medical Physics; Biomechanical Phenomena; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Cartilage (articular); Classical Mechanics; Contact pressure; Creep analysis; Finite Element Analysis; Finite element method; Humans; Joint geometry; Joints (anatomy); Knee; Knee Joint - anatomy & histology; Knee Joint - diagnostic imaging; Knee Joint - physiology; Load distribution; Load sharing; Magnetic Resonance Imaging; Male; Mathematical models; Mechanics (physics); Modelling; Models, Biological; Models, Statistical; Original Article; Population (statistical); Population studies; Pressure distribution; Principal components analysis; Statistical models; Variability; Variation; Workflow; Shape model; Knee joint; Finite element analysis; Creep response; Contact mechanics

Subject-specific knee joint models are widely used to predict joint contact mechanics for individuals but may not capture the variance in knee joint geometry across a population. Statistical shape modeling uses the dataset of a cohort to encapsulate population-wide variability. The present study aim...