FIGURE 1.
The general procedure of statistical shape modeling (SSM) for the human knee: 1) a set of CT-derived training shape models, 2) choosing a reference model; 3) establishing shape (mesh) correspondence and alignment between individual training models; 4) determining the mean shape model and shape variations; and 5) determining primary modes of shape variations using Principal Component Analysis (PCA).
