Local force model for cine CT cardiac dynamics analysis

Jose Gerardo Tamez-Pena; Chang Wen Chen

doi:10.1117/12.274059

9 May 1997 Local force model for cine CT cardiac dynamics analysis

Jose Gerardo Tamez-Pena, Chang Wen Chen

Author Affiliations +

Proceedings Volume 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images; (1997) https://doi.org/10.1117/12.274059
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

In this paper we present a local force model and its integration in a hierarchical analysis of the estimation of the left ventricle motion over a cardiac cycle. The local force model is derived from the dynamics of interconnected point masses driven by local constant forces over a short time. The forces drive the interconnected point masses within a regional patch of the left ventricle surface from one time instant to another. The trajectory that minimizes the total energy required to move the masses from one surface to another is considered as the local displacement vector. This estimated trajectory takes into account surface constraints and previous estimations derived from the volumetric images sequences so that the point masses travel along smooth trajectories resembling the realistic left ventricle surface dynamics. This proposed model is able to recover the point correspondences of the nonrigid motions between consecutive frames when the surfaces and the initial conditions of the left ventricle at consecutive time frames are given. The local force model is incorporated into a hierarchical analysis scheme providing us with the complete dynamics of the left ventricle as compared to the local kinematic analysis of previous approaches. Experimental results based on synthetic and real left ventricle CT volumetric images show that the proposed scheme is very promising for cardiac analysis.

Citation Download Citation

Jose Gerardo Tamez-Pena and Chang Wen Chen "Local force model for cine CT cardiac dynamics analysis", Proc. SPIE 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images, (9 May 1997); https://doi.org/10.1117/12.274059

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