A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

• Published in: Medical image analysis Vol. 71; p. 102080
• Main Authors: Gillette, Karli, Gsell, Matthias A.F., Prassl, Anton J., Karabelas, Elias, Reiter, Ursula, Reiter, Gert, Grandits, Thomas, Payer, Christian, Štern, Darko, Urschler, Martin, Bayer, Jason D., Augustin, Christoph M., Neic, Aurel, Pock, Thomas, Vigmond, Edward J., Plank, Gernot
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2021; Elsevier BV
• Subjects: Accuracy; Cardiac digital twins; Computer Simulation; Decision making; Digital twins; EKG; Electrocardiography; Electrophysiologic Techniques, Cardiac; Electrophysiology; Forward ECG modeling; Heart; Heart Ventricles; Humans; Industrial applications; Inference; Magnetic resonance imaging; Mathematical models; Multi-label image segmentation; Parameter identification; Parameters; Saltelli sampling; Ventricle; Ventricular activation and repolarization sequence; Workflow; Ventricular activation and repolarization sequence; Saltelli sampling; Cardiac digital twins; Parameter identification; Forward ECG modeling; Multi-label image segmentation

•Model reference frame allowing unattended manipulation of spatiallyvarying parameters.•Comprehensive physiological feature vector of ventricular EP during sinusrhythm.•Fast-forward ECG model producing gold-standard ECGs with real-time performance.•Automated workflow for generation of cardiac digita...