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1. Iñesta, J.M.; Sanz, P.J.; Sarti, M.A.; Buendía, M.
   "An Algorithm to Objectively Assess Vertebral Scoliosis from Geometric Features"
   Proceedings of the Leeds Annual Statistical Research Workshop., Leeds, UK (1994)
   : bibtex
   Abstract:

   The feasibility of using image analysis algorithms as a tool to objectively achieve the degree of scoliosis in the axial plane from vertebral pieces is posed. A scoliosis angle defined as the one formed by a mass axis and a sagittal axis. These axes are located by using geometric features, like centers of mass and convex hull, from images of vertebra's axial projection. These images are similar to those extracted by CT imaging, so this work should be regarded as a model of the clinical problem in order to design the basic concepts and to prove the feasibility of the approach. Results of its performance are shown.

@inproceedings {
 author = "Iñesta, J.M.; Sanz, P.J.; Sarti, M.A.; Buendía, M.",
 title  = "An Algorithm to Objectively Assess Vertebral Scoliosis from Geometric Features",
 address = "Leeds, UK",
 booktitle = "Proceedings of the Leeds Annual Statistical Research Workshop.",
 month = "April",
 organization = "University of Leeds",
 year = "1994"
}