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Published on: January 30, 2020
Image based modeling of defibrillation in children
Matthew Jolley1, John Triedman, Carl-Fredrik Westin
1Dept. of Cardiology, Children's Hosp. Boston, and Laboratory of Mathematics in Imaging, Harvard Medical School, MA 02115, USA. matthew.jolley@tch.harvard.edu
Summary
This study presents a new method for creating patient-specific models to optimize defibrillation for children with cardiac arrhythmias. This approach aids in planning effective treatments by considering individual anatomy.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Computational Modeling
Background:
- Pediatric patients with cardiac arrhythmias often have unique anatomies not well-suited for adult defibrillation devices.
- Patient-specific procedural modeling is crucial for effective treatment planning in this population.
Purpose of the Study:
- To develop a rapid, image-based modeling pipeline for pediatric defibrillation.
- To enable interactive interrogation of models for optimal defibrillation scenarios.
- To explore finite element modeling applications in pediatric anatomical models.
Main Methods:
- Utilized volume imaging and defibrillation electrode models.
- Employed finite element modeling for patient-specific procedural modeling.
- Developed a pipeline for rapid creation of image-based models.
Main Results:
- Presented a proof-of-concept for a new modeling pipeline.
- Demonstrated the potential for interactive interrogation of models.
- Established a foundation for further clinical studies.
Conclusions:
- The developed pipeline offers potential clinical applications for therapy planning in pediatric cardiac arrhythmias.
- This approach has broad applications for finite element modeling in diverse anatomical models.
- Future clinical studies will investigate anatomical variations' effects on myocardial voltage gradients.
