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Deformable models with parameter functions: application toheart-wall modeling
Park, J.   Metaxas, D.   Young, A.  
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA;

This paper appears in: Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Publication Date: 21-23 Jun 1994
On page(s): 437-442
Meeting Date: 06/21/1994 - 06/23/1994
Location: Seattle, WA, USA
ISBN: 0-8186-5825-8
References Cited: 15
INSPEC Accession Number: 4777965
Digital Object Identifier: 10.1109/CVPR.1994.323863
Current Version Published: 2002-08-06

Abstract
This paper develops a new class of physics-based deformable models which can deform both globally and locally. Their global parameters are functions allowing the definition of new parameterized primitives and parameterized global deformations. These new global parameter functions improve the accuracy of shape description through the use of a few intuitive parameters such as functional bending and twisting. Using a physics-based approach we convert these geometric models into deformable models that deform due to forces exerted from the data-points so as to conform to the given dataset. We present an experiment involving the extraction of shape and motion of the Left Ventricle (LV) of a heart from MRI-SPAMM data based on a few global parameter functions

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