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Article Dans Une Revue Biomechanics and Modeling in Mechanobiology Année : 2016

Estimation of passive and active properties in the human heart using 3D tagged MRI

Résumé

Advances in medical imaging and image processing are paving the way for personalised cardiac biomechani-cal modelling. Models provide the capacity to relate kinematics to dynamics and—through patient-specific modelling— derived material parameters to underlying cardiac muscle pathologies. However, for clinical utility to be achieved, model-based analyses mandate robust model selection and parameterisation. In this paper, we introduce a patient-specific biomechanical model for the left ventricle aiming to balance model fidelity with parameter identifiability. Using non-invasive data and common clinical surrogates, we illustrate unique identifiability of passive and active parameters over the full cardiac cycle. Identifiability and accuracy of the estimates in the presence of controlled noise are verified with a number of in silico datasets. Unique parametrisation is then obtained for three datasets acquired in vivo. The model predictions show good agreement with the data extracted from the images providing a pipeline for personalised biomechan-ical analysis.
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Origine : Publication financée par une institution

Dates et versions

hal-01254900 , version 1 (12-01-2016)

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Licence Ouverte - etalab

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Liya Asner, Myrianthi Hadjicharalambous, Radomir Chabiniok, · Devis Peresutti, Eva Sammut, et al.. Estimation of passive and active properties in the human heart using 3D tagged MRI. Biomechanics and Modeling in Mechanobiology, 2016, 15 (5), pp.1121-1139. ⟨10.1007/s10237-015-0748-z⟩. ⟨hal-01254900⟩
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