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Updated: Jan 9, 2026

Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
Virtual Cath Lab: Versatile Open-Source Simulator for Education and Procedural Planning in Congenital Heart
Yuval Barak-Corren1, Matthew Daemer2, Mudit Gupta1
1Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Background:
Transcatheter cardiac interventions in congenital heart disease require a precise understanding of 3-dimensional (3D) anatomical structures represented through projectional angiograms. However, intraprocedural optimization of angiograms is limited by the need to reduce exposure to radiation and nephrogenic contrast. Preprocedural optimization using 3D images has the potential to improve patient outcomes and trainee education. We sought to simulate fluoroscopic projections from 3D computed tomography images within an integrated procedural planning framework with the goal of informing training and the planning of complex interventions.
Methods:
We developed the Virtual Cath Lab simulator in SlicerHeart to generate fluoroscopic projections from cross-sectional 3D images contextualized in a realistic biplane C-arm model. Segmented images were used to simulate angiograms. Simulated projections were compared to actual angiograms obtained in the catheterization laboratory to assess realism and accuracy.
Results:
The Virtual Cath Lab allowed realistic movement of a C-arm model in synchrony with the generation of realistic fluoroscopic projections. Seventeen subjects were modeled (10 ductus arteriosus stents, 4 transcatheter pulmonary valve replacement, 1 tetralogy of Fallot with major aortopulmonary collateral arteries, 1 aortopulmonary fistula, and 1 reverse Potts shunt). The simulator successfully generated fluoroscopic projections of each subject, rapidly producing clear and anatomically accurate images, suitable for procedural planning in all cases.
Conclusions:
We report the development and application of an open-source, freely available, biplane fluoroscopy simulator based on computed tomography images. Integrated visualization of complex vascular anatomy prior to catheterization may facilitate optimization of fluoroscopic angles and procedural decision-making while also supporting education. Further studies are needed to demonstrate the clinical and educational benefits.
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