Related Experiment Video
Updated: Jan 9, 2026

Four-Dimensional Computed Tomography-Guided Valve Sizing for Transcatheter Pulmonary Valve Replacement
Published on: January 20, 2022
Integrated Open-Source Framework for Simulation of Transcatheter Pulmonary Valves in Native Right Ventricular Outflow
Christopher N Zelonis1, Jalaj Maheshwari1, Wensi Wu1,2,3
1Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, 19104, PA, USA.
A new open-source simulation workflow rapidly assesses patient candidacy for transcatheter pulmonary valve replacement (TPVR). This approach aids in selecting the optimal device for Tetralogy of Fallot (ToF) patients, potentially improving outcomes.
Area of Science:
- Cardiovascular Engineering
- Medical Imaging
- Computational Biology
Background:
- Transannular patch repair for Tetralogy of Fallot (ToF) can lead to pulmonary insufficiency, impacting long-term patient health.
- Transcatheter pulmonary valve replacement (TPVR) is increasingly used, but patient selection and device choice remain complex challenges.
Purpose of the Study:
- To develop and validate an integrated, open-source computational workflow for simulating TPVR.
- To utilize this workflow to inform patient candidacy assessment and optimal device selection for TPVR.
Main Methods:
- Machine learning was used for segmenting CT scans to define the right ventricular outflow tract (RVOT).
- A custom workflow in SlicerHeart facilitated virtual device positioning and pre-compression, with geometries exported to FEBio for finite element analysis.
- Custom metrics in SlicerHeart and FEBio were employed for result visualization and quantification.
Main Results:
- The workflow enabled rapid RVOT model creation and virtual device placement in under a minute.
- FE simulations accurately mimicked physical device placement, quantifying vessel strain, stress, and contact area.
- High strain and stress were noted at the impingement points of devices on the RVOT wall, indicating anatomical variability impacts device performance.
Conclusions:
- The study successfully demonstrated a novel, open-source workflow for rapid TPVR simulation.
- Further refinement of this workflow holds promise for improving patient selection and device choice in TPVR procedures.
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