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Realistic boundary conditions in SimVascular through inlet catheter modeling
Amirtahà Taebi1, Selin Berk2, Emilie Roncali3,4
1Department of Biomedical Engineering, University of California, Davis, One Shields Ave, Davis, CA, 95616-5270, USA. ataebi@ucdavis.edu.
A new computational fluid dynamics (CFD) pipeline simulates catheter effects in vascular flows using SimVascular. This enhances accuracy for interventional radiology, like tumor embolization, by modeling therapeutic agent distribution.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Computational Fluid Dynamics
Background:
- Computational fluid dynamics (CFD) simulations are crucial for understanding cardiovascular and vascular flows.
- Accurately modeling interventional devices like catheters is essential for simulating procedures such as tumor embolization.
- Existing CFD tools may not fully capture the complex fluid dynamics introduced by catheters.
Purpose of the Study:
- To develop a computational fluid dynamics (CFD) pipeline for SimVascular that incorporates the effects of catheter presence in vascular flow simulations.
- To enhance the simulation accuracy for interventional radiology procedures, particularly those involving therapeutic agent distribution.
Main Methods:
- Developed a pipeline to generate modified boundary condition files for SimVascular.
- The pipeline allows definition of catheter flow, velocity profile, radius, wall thickness, and vessel deviation.
- Simulated catheter effects by altering inlet boundary conditions in CFD models.
Main Results:
- Successfully created a pipeline for integrating catheter effects into SimVascular CFD simulations.
- Demonstrated that finer mesh density, especially near the catheter, improves velocity estimation accuracy.
- Qualitatively investigated the impact of catheter presence on blood flow in a patient-specific liver arterial model.
Conclusions:
- The developed pipeline effectively incorporates catheter effects into vascular CFD simulations.
- The method provides a valuable tool for improving the accuracy of simulations in interventional radiology.
- Further refinement with finer meshes can lead to more precise estimations of flow dynamics and agent distribution.
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