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Influence of geometrical properties for the calculation of a pressure-free whole heart geometry

Brenneisen, Jochen; Schuler, Steffen; Kovacheva, Ekaterina; Gerach, Tobias ORCID iD icon; Dössel, Olaf; Loewe, Axel ORCID iD icon


Individualized computer models of the geometry of the human heart are often based on magnetic resonance images (MRI) or computed tomography (CT) scans. The stress distribution in the imaged state cannot be measured but needs to be estimated from the segmented geometry, e.g. by an iterative algorithm. As the convergence of this algorithm depends on different geometrical conditions, we systematically studied their influence. Beside various shape alterations, we investigated the chamber volume, as well as the effect of material parameters. We found a marked influence of passive material parameters: increasing the model stiffness by a factor of ten halved the residual norm in the first iteration. Flat and concave areas led to a reduced robustness and convergence rate of the unloading algorithm. With this study, the geometric effects and modeling aspects governing the unloading algorithm's convergence are identified and can be used as a basis for further improvement.

Verlagsausgabe §
DOI: 10.5445/IR/1000141920
Veröffentlicht am 17.01.2022
DOI: 10.23967/wccm-eccomas.2020.177
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2696-6999
KITopen-ID: 1000141920
Erschienen in 14th WCCM-ECCOMAS Congress 2020: Collection of papers presented at the 14th edition of the WCCM-ECCOMAS, virtual congress, January, 11-15, 2021. Ed.: F. Chinesta
Verlag Scipedia S.L.
Schlagwörter Cardiac Modeling, Mechanic Simulation, Pressure-Free State, Unloaded Geometry
Nachgewiesen in Dimensions
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