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Parameter subset reduction for imaging-based digital twin generation of patients with left ventricular mechanical discoordination

Abstract Background Integration of a patient’s non-invasive imaging data in a digital twin (DT) of the heart can provide valuable insight into the myocardial disease substrates underlying left ventricular (LV) mechanical discoordination. However, when generating a DT, model parameters should be iden...

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Bibliografiske detaljer
Principais autores: Tijmen Koopsen, Nick van Osta, Tim van Loon, Roel Meiburg, Wouter Huberts, Ahmed S. Beela, Feddo P. Kirkels, Bas R. van Klarenbosch, Arco J. Teske, Maarten J. Cramer, Geertruida P. Bijvoet, Antonius van Stipdonk, Kevin Vernooy, Tammo Delhaas, Joost Lumens
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2024-05-01
Serier:BioMedical Engineering OnLine
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Online adgang:https://doi.org/10.1186/s12938-024-01232-0
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