This paper presents preliminary work on the segmentation of Computed Tomography data using a model-based approach.
Conventional image processing of CT data is aimed at the production of simple iso-surfaces for surgical planning or
diagnosis — such methods are not suitable for the automated detection of fractures, which is the ultimate application of
our work. To address these deficiencies a surface-based technique with appropriate constraints is introduced. The output
of the segmentation phase is a triangulated surface representing the bone or bones of interest. We illustrate the method
applied to low resolution CT test data and discuss its robustness and performance
