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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

Computer scienceTracking (education)Representation (politics)Set (abstract data type)SegmentationDeformation (meteorology)Computer visionTrack (disk drive)Artificial intelligenceAlgorithmPhysics

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Publication Info

Year
2002
Type
article
Pages
275-279
Citations
107
Access
Closed

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Chahab Nastar, Nicholas Ayache (2002). Fast segmentation, tracking, and analysis of deformable objects. , 275-279. https://doi.org/10.1109/iccv.1993.378206

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DOI
10.1109/iccv.1993.378206