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