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Estimating mechanical properties of the left ventricle using dynamic modeling and magnetic resonance imaging

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2 Author(s)
Nehorai, A. ; Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA ; Jeremic, A.

Presents an algorithm for estimating active and passive mechanical properties of the left ventricle using magnetic resonance imaging (MRI) tissue-tagging and pressure measurements. The authors combine physical modeling with a finite-element formulation and dynamic analysis, and apply maximum likelihood to estimate the unknown parameters. They assume that the myocardium's stiffness tensor is anisotropic and non-homogeneous. Numerical examples demonstrate the applicability of the authors' results

Published in:

Computers in Cardiology 1998

Date of Conference:

13-16 Sep 1998

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