Share Email Print
cover

Proceedings Paper

Digital radiography segmentation of a scoliotic vertebral body using deformable models
Author(s): Claude Kauffmann; Jacques A. de Guise
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 25 April 1997
PDF: 9 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274114
Show Author Affiliations
Claude Kauffmann, Ecole de Technologie Superieure and Univ. de Montreal (Canada)
Jacques A. de Guise, Ecole de Technologie Superieure, Hopital Sainte Justine, and Univ. de Montreal (Canada)


Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top