title: A framework for personalization of computational models of the human atria.
abstract: A framework for step-by-step personalization of a computational model of human atria is presented. Beginning with anatomical modeling based on CT or MRI data, next fiber structure is superimposed using a rule-based method. If available, late-enhancement-MRI images can be considered in order to mark fibrotic tissue. A first estimate of individual electrophysiology is gained from BSPM data solving the inverse problem of ECG. A final adjustment of electrophysiology is realized using intracardiac measurements. The framework is applied using several patient data. First clinical application will be computer assisted planning of RF-ablation for treatment of atrial flutter and atrial fibrillation.
authors.affiliation: Institute of Biomedical Engineering, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany. Olaf.Doessel@kit.edu
authors.forename: Olaf
authors.initials: O
authors.lastname: Dössel
authors.forename: Martin W
authors.initials: MW
authors.lastname: Krueger
authors.forename: Frank M
authors.initials: FM
authors.lastname: Weber
authors.forename: Christopher
authors.initials: C
authors.lastname: Schilling
authors.forename: Walther H W
authors.initials: WH
authors.lastname: Schulze
authors.forename: Gunnar
authors.initials: G
authors.lastname: Seemann
mesh_terms: D003198:Computer Simulation; D004562:Electrocardiography; D006325:Heart Atria / Q000033:anatomy & histology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008953:Models, Anatomic