DocumentCode
472002
Title
Three-Dimensional Ventricular Activation Imaging by Means of Equivalent Current Source Modeling and Estimation
Author
Liu, Z. ; Liu, C. ; He, B.
Author_Institution
Dept. of Biomed. Eng., Minnesota Univ., Minneapolis, MN
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
4524
Lastpage
4527
Abstract
This paper presents a novel electrocardiographic inverse approach for imaging the 3-D ventricular activation sequence based on the modeling and estimation of the equivalent current density throughout the entire myocardial volume. The spatio-temporal coherence of the ventricular excitation process is utilized to derive the activation time from the estimated time course of the equivalent current density. At each time instant during the period of ventricular activation, the distributed equivalent current density is noninvasively estimated from body surface potential maps (BSPM) using a weighted minimum norm approach with a spatio-temporal regularization strategy based on the singular value decomposition of the BSPMs. The activation time at any given location within the ventricular myocardium is determined as the time point with the maximum local current density estimate. Computer simulation has been performed to evaluate the capability of this approach to image the 3-D ventricular activation sequence initiated from a single pacing site in a physiologically realistic cellular automaton heart model. The simulation results demonstrate that the simulated "true" activation sequence can be accurately reconstructed with an average correlation coefficient of 0.90, relative error of 0.19, and the origin of ventricular excitation can be localized with an average localization error of 5.5 mm for 12 different pacing sites distributed throughout the ventricles
Keywords
biomedical imaging; cellular biophysics; electrocardiography; medical computing; medical signal detection; muscle; singular value decomposition; spatiotemporal phenomena; 3-D ventricular activation sequence; body surface potential maps; cellular automaton heart model; computer simulation; correlation coefficient; electrocardiographic inverse approach; equivalent current density estimation; equivalent current source modeling; myocardial volume; pacing sites; relative error; singular value decomposition; spatio-temporal coherence; spatio-temporal regularization strategy; three-dimensional ventricular activation imaging; time course estimation; ventricular excitation process; weighted minimum norm approach; Automata; Coherence; Computational modeling; Computer simulation; Current density; Heart; Image reconstruction; Myocardium; Performance evaluation; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259720
Filename
4462808
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