Catheter Monitoring in Intelligent Endovascular Navigation Systems: Interactive Simulations and Mixed Reality for Enhanced Navigational Awareness
Veronica Ruozzi, Giovanni Battista Regazzo, Maria Chiara Palumbo, Wim-Alexander Beckers, Mouloud Ourak, Xiu Zhang, Francesca Perico, Alessandro Caimi, Emmanuel Vander Poorten, Emiliano Votta

TL;DR
This paper presents an integrated framework combining real-time catheter shape reconstruction, interactive simulation, and mixed reality visualization to improve endovascular navigation accuracy and safety.
Contribution
It introduces a novel real-time biomechanical simulation system that incorporates sensor data and mixed reality for enhanced catheter-vessel interaction monitoring.
Findings
Median vessel wall displacement error below 2.33 mm
Hololens 2 maintained 35-40 fps rendering
Simulation time exceeded real time by 12-45% depending on complexity
Abstract
Purpose: Developing and testing a framework that integrates real-time catheter shape reconstruction, interactive simulations, and mixed reality visualization to enable accurate monitoring of catheter-vessel interactions during endovascular navigation. Methods: A finite element model (FEM) of the venous pathway from the right femoral vein to the inferior vena cava was generated from computed tomography data and implemented into an interactive simulation. Catheter motion was imposed as boundary condition, and catheter-vessel contact was modeled with a Lagrange multiplier formulation to compute vessel deformation. The framework was tested in-vitro using a sensorized catheter with Fiber Bragg Grating and electromagnetic sensors as it was advanced through a silicone replica of the vascular anatomy. Real-time sensor read-outs fed the simulation, and the updated catheter and vessel…
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