Optimizing Inverse Electrocardiographic Problem: Hybrid and High-Order Finite Element Method

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Publication Type poster
School or College Scientific Computing and Imaging Institute
Department Computing, School of
Program Scientific Computing and Imaging Institute
Creator Johnson, Christopher R.
Other Author Wang, Dafang; Kirby, Mike
Title Optimizing Inverse Electrocardiographic Problem: Hybrid and High-Order Finite Element Method
Description One type of inverse problems in electrocardiography (ECG) is to non-invasively reconstruct epicardial electric potentials from body-surface measurements. We study how to design the finite element discretization of such problem, so as to optimize the conditioning and stability of the resulting numerical system. The inverse ECG problem is ill-posed, requiring different discretization strategies from its corresponding forward problem (see Fig.1 ). We developed two new techniques: 1) a unified finite element framework that accepts tetrahedral, hexahedral and prismatic elements, and 2) a high-order finite element method with a flexible hierarchical structure. We plan to integrate these techniques into the ECG toolkit within SCIRun. The toolkit will facilitate realistic simulation of clinical applications such as ischemia and arrhythmia.
Type Text; Image
Publisher University of Utah
Language eng
Bibliographic Citation Wang, Dafang; Kirby, Mike; Johnson, Chris (2010). Inverse Electrocardiographic Problem: Hybrid and High-Order Finite Element Method. University of Utah.
Rights Management (c) Wang, Dafang; Kirby, Mike; Johnson, Chris
Format Medium application/pdf
Format Extent 17,401,351 bytes
Identifier ir-main/14794
ARK ark:/87278/s6d22gdv
Setname ir_uspace
Date Created 2012-08-01
Date Modified 2013-09-24
ID 708003
Reference URL https://collections.lib.utah.edu/ark:/87278/s6d22gdv
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