DocumentCode :
2462875
Title :
Fast segmentation, tracking, and analysis of deformable objects
Author :
Nastar, Chahab ; Ayache, Nicholas
Author_Institution :
INRIA Rocquencourt, Le Chesnay, France
fYear :
1993
fDate :
11-14 May 1993
Firstpage :
275
Lastpage :
279
Abstract :
The authors present a physically based deformable model which can be used to track and analyze non-rigid motion of dynamic structures in time sequences of 2-D or 3-D medical images. The model considers an object undergoing an elastic deformation as a set of masses linked by springs, where the natural length of the springs is set equal to zero and is replaced by a set of constant equilibrium forces, which characterize the shape of the elastic structure in the absence of external forces. This model has the extremely nice property of yielding dynamic equations which are linear and decoupled for each coordinate, irrespective of the amplitude of the deformation. It provides a reduced algorithmic complexity, and a sound framework for modal analysis, which allows a compact representation of a general deformation by a reduced number of parameters. The power of the approach to segment, track and analyze 2-D and 3-D images is demonstrated by a set of experimental results on various complex medical images
Keywords :
computational complexity; image segmentation; medical image processing; 2D images; 3-D images; algorithmic complexity; deformable objects analysis; dynamic equations; dynamic structures; medical images; nonrigid motion; physically based deformable model; time sequences; tracking; Biomedical imaging; Deformable models; Image analysis; Image motion analysis; Image segmentation; Image sequence analysis; Motion analysis; Shape; Springs; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
Type :
conf
DOI :
10.1109/ICCV.1993.378206
Filename :
378206
Link To Document :
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