A5080808533- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- ECG Monitoring and Analysis
- Cardiac Arrhythmias and Treatments
- Advanced MRI Techniques and Applications
- Cardiac pacing and defibrillation studies
- Elasticity and Material Modeling
- Cardiac Imaging and Diagnostics
- Microfluidic and Capillary Electrophoresis Applications
- Atrial Fibrillation Management and Outcomes
- Neuroscience and Neural Engineering
- Cardiomyopathy and Myosin Studies
- Advanced Neuroimaging Techniques and Applications
- Electrochemical Analysis and Applications
- Analog and Mixed-Signal Circuit Design
- Coronary Interventions and Diagnostics
- Electrostatic Discharge in Electronics
- Neurological disorders and treatments
- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- Protein Structure and Dynamics
- Medical Image Segmentation Techniques
- Cardiac Arrest and Resuscitation
- EEG and Brain-Computer Interfaces
- Ion channel regulation and function
Medical University of Graz
2013-2024
BioTechMed-Graz
2022-2023
University of Graz
2007-2014
Johns Hopkins University
2009
University of Oxford
2006
Tulane University
2006
University of Calgary
2006
Universität Innsbruck
2002
Cardiac digital twins (Cardiac Digital Twin (CDT)s) of human electrophysiology (Electrophysiology (EP)) are replicas patient hearts derived from clinical data that match like-for-like all available observations. Due to their inherent predictive potential, CDTs show high promise as a complementary modality aiding in decision making and also the cost-effective, safe ethical testing novel EP device therapies. However, current workflows for both anatomical functional twinning phases within CDT...
This paper presents methods to build histo-anatomically detailed individualized cardiac models. The models are based on high-resolution three-dimensional anatomical and/or diffusion tensor magnetic resonance images, combined with serial histological sectioning data, and used investigate function. current state of the art is reviewed, its limitations discussed. We assess challenges associated generation representative in silico heart. entire processing pipeline including image acquisition,...
Anatomically accurate and biophysically detailed bidomain models of the human heart have proven a powerful tool for gaining quantitative insight into links between electrical sources in myocardium concomitant current flow surrounding medium as they represent their relationship mechanistically based on first principles. Such are increasingly considered clinical research with perspective being used, ultimately, complementary diagnostic modality. An important prerequisite many modeling...
Electromechanical (EM) models of the heart have been used successfully to study fundamental mechanisms underlying a beat in health and disease. However, all modeling studies reported so far numerous simplifications were made terms representing biophysical details cellular function its heterogeneity, gross anatomy tissue microstructure, as well bidirectional coupling between electrophysiology (EP) distension. One limiting factor is employed spatial discretization methods which are not...
Being able to map a particular set of cardiac ventricles generic topologically equivalent representation has many applications, including facilitating comparison different hearts, as well mapping quantities and structures interest between them. In this paper we describe Universal Ventricular Coordinates (UVC), which can be used position within any biventricular heart. UVC comprise four unique coordinates that have chosen intuitive, defined, relevant for physiological descriptions. We how...
Computational models of the heart are increasingly being used in development devices, patient diagnosis and therapy guidance. While software techniques have been developed for simulating single hearts, there remain significant challenges cohorts virtual hearts from multiple patients. To facilitate new simulation model analysis by groups without direct access to medical data, image meshing tools, we created first publicly available cohort twenty-four four-chamber hearts. Our was built failure...
The pericardium affects cardiac motion by limiting epicardial displacement normal to the surface. In computational studies, it is important for model replicate realistic motion, as this physiological fidelity of model. Previous studies showed that accounting effect allows a more simulation. study, we describe mechanism through which causes improved motion. We simulated electrical activation and contraction ventricles on four-chamber heart in presence absence pericardium. mechanical...
Significant advancements in imaging technology and the dramatic increase computer power over last few years broke ground for construction of anatomically realistic models heart at an unprecedented level detail. To effectively make use high-resolution datasets modeling purposes, imaged objects have to be discretized. This procedure is trivial structured grids. However, develop generally applicable models, unstructured grids are much preferable. In this study, a novel image-based mesh...
SUMMARY We present an approach to model the dispersion of fiber and sheet orientations in myocardium. By utilizing structure parameters, existing orthotropic invariant‐based constitutive developed describe passive behavior myocardium is augmented. Two parameters are fitted experimentally observed angular data myocardial tissue. Computations performed on a unit tissue cube slice left ventricle indicating that parameter has effect deformation stress development. The use dispersions relating...
Abstract Personalized models of cardiac electrophysiology (EP) that match clinical observation with high fidelity, referred to as digital twins (CDTs), show promise a tool for tailoring precision therapies. Building CDTs EP relies on the ability replicate ventricular activation sequence under broad range conditions. Of pivotal importance is His–Purkinje system (HPS) within ventricles. Workflows generation and incorporation HPS are needed use in twinning pipelines aim minimize misfit between...
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific generated from high fidelity imaging and used simulate patient physiology, pathophysiology response treatment. Current structured meshes limited in their ability fully represent the detailed anatomical data available images capture complex varied anatomy geometric accuracy. In this paper, we review state art image-based personalization for biophysically detailed,...
Advanced medical imaging technologies provide a wealth of information on cardiac anatomy and structure at paracellular resolution, allowing to identify microstructural discontinuities which disrupt the intracellular matrix. Current state-of-the-art computer models built upon such datasets account for increasingly finer anatomical details, however, structural level are typically discarded in model generation process, owing significant costs incur when using high resolutions explicit...
Models of blood flow in the left ventricle (LV) and aorta are an important tool for analysing interplay between LV deformation patterns. Typically, image-based kinematic models describing endocardial motion used as input to simulations. While such suitable hemodynamic status quo, they limited predicting response interventions that alter afterload conditions. Mechano-fluidic using biophysically detailed electromechanical (EM) have potential overcome this limitation, but more costly build...
AimsPremature ventricular complexes (PVCs) due to spontaneous calcium (Ca) release (SCR) events at the cell level can precipitate arrhythmias. However, mechanistic link between SCRs and PVC formation remains incompletely understood. The aim of this study was investigate conditions under which delayed afterdepolarizations resulting from stochastic subcellular SCR overcome electrotonic source–sink mismatch, leading initiation.
Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing mechanistic links between myocardial deformation patterns. Typically, use image-based kinematic CFD prevails applications such as predicting acute response to interventions which alter LV afterload conditions. However, limited their ability analyze any impacts upon load or key biomarkers known be implicated driving remodeling processes function is not accounted a...
Computer models of left ventricular (LV) electro-mechanics (EM) show promise as a tool for assessing the impact increased afterload upon LV performance. However, identification unique model parameters and personalization EM remains challenging due to significant clinical input uncertainties. Here, we personalized virtual cohort N = 17 under pressure overload conditions. A global-local optimizer was developed uniquely identify three-element Windkessel (Wk3) model. The sensitivity Wk3...
Fibrosis is thought to play an important role in the formation and maintenance of atrial fibrillation (AF). The propensity fibrosis increase AF vulnerability depends not only on its amount, texture plays a crucial as well. While detection fibrotic tissue patches atria with extracellular recordings feasible based analysis electrogram fractionation, used clinical practice identify ablation targets, classification more challenging problem. This study seeks establish method for electroanatomical...