Deformable models with parameter functions: application to heart-wall modeling

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 datapoints 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. Comments Copyright 1994 IEEE. Reprinted from Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 437-442. Publisher URL: http://dx.doi.org/10.1109/CVPR.1994.323863 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposed or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. This conference paper is available at ScholarlyCommons: http://repository.upenn.edu/hms/59 Deformable Models with Parameter Functions: Application to Heart-Wall Modeling Jinah Park’ Diniitri Metaxas’ and Alistair Young2 ‘Department of Computer & Information Science *Department of Radiology University of Pennsylvania Philadelphia PA 19 104-6389