Materialise N.v.

Joris Van Deun

Jan Willem Maes

Tom Cluckers

Systems and methods for predicting shape are provided. A system for predicting shape can include a database, a training analysis module, a subject analysis module, and a prediction module. The database can store two sets of training models characterized by first and second parameters, respectively (e.g., bone and cartilage), as well as a subject model characterized by the first parameter (e.g., a bone model). The relationships between these models can be determined by a training analysis module and a subject module. Based on these relationships, the prediction module can generate a predicted shape characterized by the second parameter (e.g., a predicted cartilage model corresponding to the bone model).

Generation of a digital 3D model of an object based on predicting a shape of the object

Prediction of patient-specific structure based on statistical shape model

Systems and methods are provided for constructing a statistical shape model from a set of training shapes. In one embodiment, two shapes in the training set can be parameterized to a common base domain. Correspondence between the shapes can be evaluated using shape-specific data, such as, for the case of anatomical shapes, anatomical curves and/or anatomical landmarks. In evaluating correspondence, the shape-specific data about the second shape can be mapped to the shape-specific data about the first shape, and the mapping can be optimized based at least in part on a deformation energy of the mapping.

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Leuven, Belgium

Joris Van Deun