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A Deformable Statistical Shape Model Applied to Three-Dimensional Lumbar Vertebra Images

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3 Author(s)
Jian Ling ; Southwest Res. Inst., San Antonio, TX ; Bartels, K. ; Nicolella, D.

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.

Published in:

Image Analysis and Interpretation, 2008. SSIAI 2008. IEEE Southwest Symposium on

Date of Conference:

24-26 March 2008