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- W1522559518 abstract "We propose a methodology for performing the estimation of a key constitutive parameter in a biomechanical heart model – namely, the tissue contractility – using tagged-MRI data. We adopt a sequential data assimilation strategy, and the image data is assumed to be processed in the form of deforming tag planes, which we employ to obtain a discrepancy between the model and the data by computing distances to these surfaces. We assess our procedure using synthetic measurements produced with a model representing an infarcted heart as observed in an animal experiment, and the estimation results are found to be of superior accuracy compared to assimilation based on segmented endo- and epicardium surfaces." @default.
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- W1522559518 date "2011-01-01" @default.
- W1522559518 modified "2023-09-27" @default.
- W1522559518 title "Constitutive Parameter Estimation Methodology Using Tagged-MRI Data" @default.
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- W1522559518 doi "https://doi.org/10.1007/978-3-642-21028-0_52" @default.
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