Digital radiography segmentation of a scoliotic vertebral body using deformable models

Claude Kauffmann; Jacques A. de Guise

doi:10.1117/12.274114

25 April 1997 Digital radiography segmentation of a scoliotic vertebral body using deformable models

Claude Kauffmann, Jacques A. de Guise

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274114
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

A computer segmentation method based on the active contours model (gsnake) and using a priori knowledge is adapted and used to detect automatically the contour lines of the vertebral body in digital radiographs of the scoliotic spine. These contour lines are used to identify correspondent anatomical landmarks for the 3D reconstruction of the scoliotic spine using a bi-planar technique. Automated digitization of the landmarks should drastically reduce the time and the variability of the actual manual digitization method and improve precision in 3D reconstruction. Our procedure is applied to ten different radiographs of scoliotic spine and the results are exposed and discussed. A variability study is also performed and variations in vertebral landmark locations are evaluated. In comparison with the manual landmark identification method, we show that the automated procedure can be used in a supervised environment for the precise extraction of anatomical landmarks.

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Claude Kauffmann and Jacques A. de Guise "Digital radiography segmentation of a scoliotic vertebral body using deformable models", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274114

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