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Image-Based Structural Modeling of the Cardiac Purkinje Network.

Liu BR, Cherry EM - Biomed Res Int (2015)

Bottom Line: The Purkinje network is a specialized conduction system within the heart that ensures the proper activation of the ventricles to produce effective contraction.To allow for greater realism in Purkinje structural models, we present a method for creating three-dimensional Purkinje networks based directly on imaging data.Using this method, we create models for the combined ventricle-Purkinje system that can fully activate the ventricles through a stimulus delivered to the Purkinje network and can produce simulated activation sequences that match experimental observations.

View Article: PubMed Central - PubMed

Affiliation: School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA.

ABSTRACT
The Purkinje network is a specialized conduction system within the heart that ensures the proper activation of the ventricles to produce effective contraction. Its role during ventricular arrhythmias is less clear, but some experimental studies have suggested that the Purkinje network may significantly affect the genesis and maintenance of ventricular arrhythmias. Despite its importance, few structural models of the Purkinje network have been developed, primarily because current physical limitations prevent examination of the intact Purkinje network. In previous modeling efforts Purkinje-like structures have been developed through either automated or hand-drawn procedures, but these networks have been created according to general principles rather than based on real networks. To allow for greater realism in Purkinje structural models, we present a method for creating three-dimensional Purkinje networks based directly on imaging data. Our approach uses Purkinje network structures extracted from photographs of dissected ventricles and projects these flat networks onto realistic endocardial surfaces. Using this method, we create models for the combined ventricle-Purkinje system that can fully activate the ventricles through a stimulus delivered to the Purkinje network and can produce simulated activation sequences that match experimental observations. The combined models have the potential to help elucidate Purkinje network contributions during ventricular arrhythmias.

No MeSH data available.


Related in: MedlinePlus

Comparison of activation times in the canine ventricles in the 3D-3D and 3D-2D model implementations. Plots show the difference in activation times of the ventricles between the 3D-3D and 3D-2D models, with a positive difference indicating the 3D-2D model activated earlier than the 3D-3D model.
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fig13: Comparison of activation times in the canine ventricles in the 3D-3D and 3D-2D model implementations. Plots show the difference in activation times of the ventricles between the 3D-3D and 3D-2D models, with a positive difference indicating the 3D-2D model activated earlier than the 3D-3D model.

Mentions: Figures 12 and 13 show differences in activation times between the 3D-3D and 3D-2D models for the rabbit and canine systems, respectively; in the plots, activation times are offset to minimize the root mean square difference. The well-defined regions of earlier and later activation of the models indicate that the two- and three-dimensional Purkinje network structures in the two models have a degree of nonuniform distortion. There are several reasons why such differences may be expected. The three-dimensional Purkinje structure in the 3D-3D model will be a distorted version of the original two-dimensional Purkinje structure, due to deviations in the endocardial surface from the cylindrical approximating surface. Distances perpendicular to the axis of the cylinder will shorten in regions of the surface that lie within the cylinder and lengthen in regions outside of the cylinder. Distances parallel to the axis of the cylinder will lengthen only. Despite the differences in construction, the two models show very similar activation sequences.


Image-Based Structural Modeling of the Cardiac Purkinje Network.

Liu BR, Cherry EM - Biomed Res Int (2015)

Comparison of activation times in the canine ventricles in the 3D-3D and 3D-2D model implementations. Plots show the difference in activation times of the ventricles between the 3D-3D and 3D-2D models, with a positive difference indicating the 3D-2D model activated earlier than the 3D-3D model.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4637159&req=5

fig13: Comparison of activation times in the canine ventricles in the 3D-3D and 3D-2D model implementations. Plots show the difference in activation times of the ventricles between the 3D-3D and 3D-2D models, with a positive difference indicating the 3D-2D model activated earlier than the 3D-3D model.
Mentions: Figures 12 and 13 show differences in activation times between the 3D-3D and 3D-2D models for the rabbit and canine systems, respectively; in the plots, activation times are offset to minimize the root mean square difference. The well-defined regions of earlier and later activation of the models indicate that the two- and three-dimensional Purkinje network structures in the two models have a degree of nonuniform distortion. There are several reasons why such differences may be expected. The three-dimensional Purkinje structure in the 3D-3D model will be a distorted version of the original two-dimensional Purkinje structure, due to deviations in the endocardial surface from the cylindrical approximating surface. Distances perpendicular to the axis of the cylinder will shorten in regions of the surface that lie within the cylinder and lengthen in regions outside of the cylinder. Distances parallel to the axis of the cylinder will lengthen only. Despite the differences in construction, the two models show very similar activation sequences.

Bottom Line: The Purkinje network is a specialized conduction system within the heart that ensures the proper activation of the ventricles to produce effective contraction.To allow for greater realism in Purkinje structural models, we present a method for creating three-dimensional Purkinje networks based directly on imaging data.Using this method, we create models for the combined ventricle-Purkinje system that can fully activate the ventricles through a stimulus delivered to the Purkinje network and can produce simulated activation sequences that match experimental observations.

View Article: PubMed Central - PubMed

Affiliation: School of Mathematical Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA.

ABSTRACT
The Purkinje network is a specialized conduction system within the heart that ensures the proper activation of the ventricles to produce effective contraction. Its role during ventricular arrhythmias is less clear, but some experimental studies have suggested that the Purkinje network may significantly affect the genesis and maintenance of ventricular arrhythmias. Despite its importance, few structural models of the Purkinje network have been developed, primarily because current physical limitations prevent examination of the intact Purkinje network. In previous modeling efforts Purkinje-like structures have been developed through either automated or hand-drawn procedures, but these networks have been created according to general principles rather than based on real networks. To allow for greater realism in Purkinje structural models, we present a method for creating three-dimensional Purkinje networks based directly on imaging data. Our approach uses Purkinje network structures extracted from photographs of dissected ventricles and projects these flat networks onto realistic endocardial surfaces. Using this method, we create models for the combined ventricle-Purkinje system that can fully activate the ventricles through a stimulus delivered to the Purkinje network and can produce simulated activation sequences that match experimental observations. The combined models have the potential to help elucidate Purkinje network contributions during ventricular arrhythmias.

No MeSH data available.


Related in: MedlinePlus