Computational models have become an important research approach that provides mechanistic insight into cardiac physiology and pathology. They are a powerful tool that complements traditional laboratory, animal or clinical studies. Over the years, clinical electrophysiological data and patients-specific anatomical geometry had been incorporated to build and simulate more realistic models. However, the lack of a modelling framework along with documentation, the absence of a modular and extensible architecture and different mathematical approaches hinder validation of the results and impair their reproducibility. Within the DFG-funded project SuLMaSS, we will advance our modeling framework for cardiac electrophysiology towards a sustainable research software in collaboration with the Steinbuch Computing Center, the Institute for Applied Materials at KIT, the KIT library and the Institute for Experimental Cardiovascular Medicine at the University Heart Center Freiburg ∙ Bad Krozingen (UHZ).
This work aims to develop an open source modeling framework for the electrophysiology of the heart into a sustainable research software. We will provide high-quality, user-friendly cardiac electrophysiology simulation software that meets proven needs of the scientific community. Secondly, we will provide infrastructure components for testing, storage, referencing, and versioning for all phases of the research software lifecycle. Third, we will provide the optimal solution for a large proportion of those who can potentially benefit from cardiac computer modeling methods. In this way, we will expand the benefits of the software and generate added value for the broad scientific community of cardiac electrophysiology.
|title||type||person in charge||tutor|
|In silico characterization of pace-and-drive capacity of the human sinus node effects of cellular variability and tissue structure Projekttitel||Master thesis|
|Creation of patient specific models from dual datasets||Student research project|
|Source estimation of the cardiac fibrotic substrate from intracardiac signals||Master thesis|
|A hybrid modeling approach to characterize the fibrotic substrate||Student research project|
|Cardiac Magnetic Resonance Image Segmentation||Student research project|
|The effect of fibrosis transmurality on electrogram morphology and atrial fibrillation dynamics||Bachelor thesis|
Bill and Gary Sanders Poster Award, Konferenz „Computing in Cardiology“ 2022 in Tampere (Finnland)
Jorge Sánchez, Axel Loewe:
Mechanical Consequences of Electrical Remodeling due to Persistent Atrial Fibrillation: a Cellular Level Sensitivity Analysis
Semi-Finalist beim Rosanna Degani Young Investigator Award, Konferenz „Computing in Cardiology“ 2022 in Tampere (Finnland)
Carmen Martinez Anton, Jorge Sánchez, Andreas Heinkele, Laura Anna Unger, Annika Haas, Kerstin Schmidt, Armin Luik, Axel Loewe, Olaf Doessel:
Effect of Contact Force on Local Electrical Impedance in Atrial Tissue - an in silico Evaluation
Finalist at Rosanna Degani Young Investigators Award, Konferenz „Computing in Cardiology“ 2020, Rimini (Italien)
Jorge Sánchez, Mark Nothstein, Aurel Neic, Yung-Lin Huang, Anton J Prassl, Jochen Klar, Robert Ulrich, Felix Bach, Philipp Zschumme, Michael Selzer, Gernot Plank, Edward Vigmond, Gunnar Seemann, Axel Loewe.
openCARP: An Open Sustainable Framework for In-Silico Cardiac Electrophysiology Research