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...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	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
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2024-05-01
Seri Bilgileri:	BioMedical Engineering OnLine
Konular:	Digital twin Mechanical discoordination Left bundle branch block Myocardial infarction Myocardial strain Sensitivity analysis
Online Erişim:	https://doi.org/10.1186/s12938-024-01232-0
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

Benzer Materyaller