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pyssam is a Python library for creating statistical shape and appearancemodels (SSAMs) for biological (and other) shapes such as bones, lungs or otherorgans. A point cloud best describing the anatomical 'landmarks' of the organare required from each sample in a small population as an input. Additionalinformation such as landmark gray-value can be included to incorporate jointcorrelations of shape and 'appearance' into the model. Our library performsalignment and scaling of the input data and creates a SSAM based on covarianceacross the population. The output SSAM can be used to parameterise and quantifyshape change across a population. pyssam is a small and low dependency codebasewith examples included as Jupyter notebooks for several common SSAMcomputations. The given examples can easily be extended to alternativedatasets, and also alternative tasks such as medical image segmentation byincorporating a SSAM as a constraint for segmented organs.

pyssam -- a Python library for statistical modelling of biomedical shape and appearance