Deformable models for 3-D medical images using finite elements and balloons

Author

Cohen, Laurent D. ; Cohen, Isaac

Author_Institution

Univ. Paris-Dauphine, Paris, France

fYear

1992

fDate

15-18 Jun 1992

Firstpage

592

Lastpage

598

Abstract

A 3-D generalization of the balloon model as a 3-D deformable surface, which evolves in 3-D images, is presented. It is deformed under the action of internal and external forces attracting the surface toward detected edge elements by means of an attraction potential. To solve the minimization problem for a surface, two simplified approaches are shown, defining a 3-D surface as a series of 2-D planar curves. Then the 3-D model is solved using the finite-element method, yielding greater stability and faster convergence. This model has been used to segment magnetic resonance images

Keywords

finite element analysis; image segmentation; medical image processing; minimisation; 2-D planar curves; 3-D medical images; balloons; convergence; deformable models; detected edge elements; finite elements; finite-element method; magnetic resonance images; minimization problem; stability; Biomedical imaging; Deformable models; Detectors; Feature extraction; Finite element methods; Image edge detection; Image reconstruction; Image segmentation; Stability; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on

Conference_Location

Champaign, IL

ISSN

1063-6919

Print_ISBN

0-8186-2855-3

Type

conf

DOI

10.1109/CVPR.1992.223130

Filename

223130