Estimation of Personalized Minimal Purkinje Systems From Human Electro-Anatomical Maps
| Autor: | Josselin Duchateau, Edward J. Vigmond, Michel Haïssaguerre, Fernando Barber, Mélèze Hocini, Rafael Sebastian, Miguel Lozano, Ignacio García-Fernández, Peter Langfield |
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| Rok vydání: | 2021 |
| Předmět: |
Radiological and Ultrasound Technology
business.industry Computer science Heart Ventricles Myocardium Network structure Therapy planning Pattern recognition Computer Science Applications Purkinje Fibers Electrocardiography Electrophysiology Humans Computer Simulation Time error Artificial intelligence Electrical and Electronic Engineering business Heart structure Contraction (operator theory) Software |
| Zdroj: | IEEE Transactions on Medical Imaging. 40:2182-2194 |
| ISSN: | 1558-254X 0278-0062 |
| Popis: | The Purkinje system is a heart structure responsible for transmitting electrical impulses through the ventricles in a fast and coordinated way to trigger mechanical contraction. Estimating a patient-specific compatible Purkinje Network from an electro-anatomical map is a challenging task, that could help to improve models for electrophysiology simulations or provide aid in therapy planning, such as radiofrequency ablation. In this study, we present a methodology to inversely estimate a Purkinje network from a patient's electro-anatomical map. First, we carry out a simulation study to assess the accuracy of the method for different synthetic Purkinje network morphologies and myocardial junction densities. Second, we estimate the Purkinje network from a set of 28 electro-anatomical maps from patients, obtaining an optimal conduction velocity in the Purkinje network of 1.95 ± 0.25 m/s, together with the location of their Purkinje-myocardial junctions, and Purkinje network structure. Our results showed an average local activation time error of 6.8±2.2 ms in the endocardium. Finally, using the personalized Purkinje network, we obtained correlations higher than 0.85 between simulated and clinical 12-lead ECGs. |
| Databáze: | OpenAIRE |
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