Bone model morphing for enhanced surgical visualization

We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visualization without the need for a pre or intra-operative imaging. Our method #ts a statistical deformable model to sparse 3D data consisting of digitized landmarks and bone surface points. The method also allows the incorporation of nonspatial data such as patient height and weight. The statistical model is constructed using principal component analysis (PCA) from a set of training objects. Our morphing method then computes a Mahalanobis distance weighted least square #t of the model by solving a linear equation system. First experimental promising results with model generated from 14 femoral head are presented.