Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model |
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Authors: | R?Chabiniok P?Moireau P-F?Lesault A?Rahmouni J-F?Deux Email author" target="_blank">D?ChapelleEmail author |
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Institution: | (1) Laboratory for Space Weather, Center for Space Science and Applied Research, Chinese Academy of Sciences, P.O.Box 8701, Beijing, 100080, P.R.China |
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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 Cine-MR 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 patient-specific 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 full-scale 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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