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Indexing of Complete and Partial 2-D Shapes for NHANES II

NHANES II is a database of cervical and lumbar x-ray spinal images and is a nationally important database maintained at the National Library of Medicine. This paper gives an overview of our efforts to index NHANES II images for osteophyte severity which is one of the leading causes of back pain. We first use a template deformation algorithm to extract vertebra boundaries. Shapes of vertebrae are then conveniently described in shape spaces. Our major contribution here is a fast retrieval scheme for both complete and partial shapes in shape space with indexing after optimal embedding. Our experiments first evaluate the performance of different proposed shape distances and demonstrate the optimality of the embedding algorithm. The proposed indexing scheme with the NHANES II database achieves the sub-linear retrieval complexity.