A framework for personalization of computational models of the human atria

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...

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Bibliographic Details
Published in2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2011; pp. 4324 - 4328
Main Authors Dossel, O., Krueger, M. W., Weber, F. M., Schilling, C., Schulze, W. H. W., Seemann, G.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2011
Subjects
Adaptation models
Atrial fibrillation
Biological system modeling
Computational modeling
Computer Simulation
Electrocardiography
Heart
Heart Atria - anatomy & histology
Humans
Magnetic Resonance Imaging
Models, Anatomic
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Summary: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.
ISBN:9781424441211
1424441218
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2011.6091073