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A surface morphing technique utilizing the generalized gradient vector flow (GGVF) method was implemented and tested. The surface morphing results in a homeomorphic deformation of a reference surface onto individual members of a data set. Internal and external forces that drive the surface morphing result in correspondences between the parameterized surfaces. Principal component analysis was used to form a statistical shape model from the resulting surfaces. Three dimensional LI-lumbar vertebral images were used to demonstrate the algorithm. Volume image preprocessing and segmentation is described as well.