Estimation of tissue contractility from cardiac ci

Authors: R Chabiniok P Moireau PF Lesault A Rahmouni JF Deux D Chapelle

Publish Date: 2011/07/28

Volume: 11, Issue: 5, Pages: 609-630

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Abstract

The objective of this paper is to propose and assess an estimation procedure—based on data assimilation principles—well suited to obtain some regional values of key biophysical parameters in a beating heart model using actual CineMR images The motivation is twofold 1 to provide an automatic tool for personalizing the characteristics of a cardiac model in order to achieve predictivity in patientspecific modeling and 2 to obtain some useful information for diagnosis purposes in the estimated quantities themselves In order to assess the global methodology we specifically devised an animal experiment in which a controlled infarct was produced and data acquired before and after infarction with an estimation of regional tissue contractility—a key parameter directly affected by the pathology—performed for every measured stage After performing a preliminary assessment of our proposed methodology using synthetic data we then demonstrate a fullscale application by first estimating contractility values associated with 6 regions based on the AHA subdivision before running a more detailed estimation using the actual AHA segments The estimation results are assessed by comparison with the medical knowledge of the specific infarct and with late enhancement MR images We discuss their accuracy at the various subdivision levels in the light of the inherent modeling limitations and of the intrinsic information contents featured in the data

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