DocumentCode :
1313264
Title :
Construction of a Computational Anatomical Model of the Peripheral Cardiac Conduction System
Author :
Sebastian, Rafael ; Zimmerman, Viviana ; Romero, Daniel ; Frangi, Alejandro F.
Author_Institution :
Dept. of Comput. Sci., Group for Comput. Imaging & Simulation Technol. in Biomed., Univ. de Valencia, Valencia, Spain
Volume :
58
Issue :
12
fYear :
2011
Firstpage :
3479
Lastpage :
3482
Abstract :
A methodology is presented here for automatic construction of a ventricular model of the cardiac conduction system (CCS), which is currently a missing block in many multiscale cardiac electromechanic models. It includes the His bundle, left bundle branches, and the peripheral CCS. The algorithm is fundamentally an enhancement of a rule-based method known as the Lindenmayer systems (L-systems). The generative procedure has been divided into three consecutive independent stages, which subsequently build the CCS from proximal to distal sections. Each stage is governed by a set of user parameters together with anatomical and physiological constrains to direct the generation process and adhere to the structural observations derived from histology studies. Several parameters are defined using statistical distributions to introduce stochastic variability in the models. The CCS built with this approach can generate electrical activation sequences with physiological characteristics.
Keywords :
bioelectric phenomena; biological tissues; biomechanics; cardiology; cellular biophysics; physiological models; statistical distributions; His bundle; Linden-mayer systems; computational anatomical model construction; distal sections; electrical activation sequences; histology; left bundle branches; multiscale cardiac electromechanic models; peripheral cardiac conduction system; physiological characteristics; rule-based method; statistical distributions; stochastic variability; ventricular model; Biological system modeling; Computational modeling; Heart; Humans; Materials; Mathematical model; Physiology; Biophysical modeling; cardiac conduction system (CCS); cardiac electrophysiology; Computer Simulation; Electrocardiography; Endocardium; Heart Conduction System; Heart Ventricles; Humans; Models, Cardiovascular;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2011.2166553
Filename :
6008630
Link To Document :
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