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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Gillette, K; Gsell, MAF; Prassl, AJ; Karabelas, E; Reiter, U; Reiter, G; Grandits, T; Payer, C; Štern, D; Urschler, M; Bayer, JD; Augustin, CM; Neic, A; Pock, T; Vigmond, EJ; Plank, G.
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Med Image Anal. 2021; 71:102080 Doi: 10.1016/ [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG


Führende Autor*innen der Med Uni Graz
Gillette Karli
Plank Gernot
Co-Autor*innen der Med Uni Graz
Augustin Christoph
Grandits Thomas
Gsell Matthias
Karabelas Elias
Neic Aurel-Vasile
Prassl Anton
Reiter Gert
Reiter Ursula
Stern Darko
Urschler Martin

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Cardiac digital twins (Cardiac Digital Twin (CDT)s) of human electrophysiology (Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that match like-for-like all available clinical observations. Due to their inherent predictive potential, CDTs show high promise as a complementary modality aiding in clinical decision making and also in the cost-effective, safe and ethical testing of novel EP device therapies. However, current workflows for both the anatomical and functional twinning phases within CDT generation, referring to the inference of model anatomy and parameters from clinical data, are not sufficiently efficient, robust and accurate for advanced clinical and industrial applications. Our study addresses three primary limitations impeding the routine generation of high-fidelity CDTs by introducing; a comprehensive parameter vector encapsulating all factors relating to the ventricular EP; an abstract reference frame within the model allowing the unattended manipulation of model parameter fields; a novel fast-forward electrocardiogram (Electrocardiogram (ECG)) model for efficient and bio-physically-detailed simulation required for parameter inference. A novel workflow for the generation of CDTs is then introduced as an initial proof of concept. Anatomical twinning was performed within a reasonable time compatible with clinical workflows (<4h) for 12 subjects from clinically-attained magnetic resonance images. After assessment of the underlying fast forward ECG model against a gold standard bidomain ECG model, functional twinning of optimal parameters according to a clinically-attained 12 lead ECG was then performed using a forward Saltelli sampling approach for a single subject. The achieved results in terms of efficiency and fidelity demonstrate that our workflow is well-suited and viable for generating biophysically-detailed CDTs at scale.
Find related publications in this database (using NLM MeSH Indexing)
Computer Simulation - administration & dosage
Electrocardiography - administration & dosage
Electrophysiologic Techniques, Cardiac - administration & dosage
Heart - administration & dosage
Heart Ventricles - administration & dosage
Humans - administration & dosage

Find related publications in this database (Keywords)
Forward ECG modeling
Cardiac digital twins
Parameter identification
Saltelli sampling
Multi-label image segmentation
Ventricular activation and repolarization sequence
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