Trials on tissue contractility estimation from cardiac cine MRI using a biomechanical heart model
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Trials on tissue contractility estimation from cardiac cine MRI using a biomechanical heart model
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Myocardial contractility and regional work throughout the cardiac cycle using FEM and MRI
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Current-Based 4d shape analysis for the mechanical personalization of heart models
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Automated personalised human left ventricular FE models to investigate heart failure mechanics
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
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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.