Title :
Surface segmentation of long bone structures from 3D CT images using a deformable contour model
Author :
Burdin, Valérie ; Roux, Christian
Author_Institution :
Dept. Image et Traitement de l´´Inf., Telecom Bretagne, Brest, France
Abstract :
The authors present a method for the surface segmentation of long bone structures from 3D CT images using a deformable contour model. The structural property of the elongated structures allows the authors to use the resulting contour to initialize the process in the following transversal slice. The presented results show the relevance and the efficiency of the method
Keywords :
bone; computerised tomography; image segmentation; medical image processing; modelling; surface topography measurement; 3D CT images; deformable contour model; long bone structures; medical diagnostic imaging; structural property; surface segmentation; transversal slice; Bones; Computed tomography; Damping; Data mining; Deformable models; Equations; Finite element methods; Image segmentation; Lagrangian functions; Shape;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411928
