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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: BMC 2024-05-01
Series:BioMedical Engineering OnLine
Subjects:
Digital twin
Mechanical discoordination
Left bundle branch block
Myocardial infarction
Myocardial strain
Sensitivity analysis
Online Access:https://doi.org/10.1186/s12938-024-01232-0

Internet

https://doi.org/10.1186/s12938-024-01232-0

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