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Updated: Jan 4, 2026

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
Published on: January 18, 2021
Computing patient-specific hemodynamics in stented femoral artery models obtained from computed tomography using a
Monika Colombo1, Marco Bologna2, Marc Garbey3
1Laboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
This study developed a validated 3D reconstruction method for patient-specific femoral artery models. Computational fluid dynamics (CFD) simulations revealed consistent helical flow structures and minimal wall shear stress changes in stented regions, aiding in-stent restenosis analysis.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Fluid Dynamics
Background:
- In-stent restenosis is a common complication following endovascular treatment for peripheral artery disease.
- Understanding the relationship between abnormal hemodynamics and restenosis is crucial for improving patient outcomes.
- Patient-specific computational fluid dynamics (CFD) simulations offer a powerful tool for analyzing these hemodynamic factors.
Purpose of the Study:
- To develop and validate a robust 3D reconstruction method for patient-specific stented femoral artery models from CT images.
- To perform CFD simulations on these patient-specific models to analyze hemodynamic patterns.
- To investigate the influence of common femoral artery bifurcation and inlet velocity profiles on CFD results.
Main Methods:
- A semi-automatic segmentation algorithm was used to create 3D reconstructions from CT images, including artifact and thrombus removal.
- The reconstruction method was validated using 3D printed phantoms, comparing reconstructed geometries to CAD models.
- Patient-specific CFD models were generated, and simulations were conducted with varying bifurcation presence and inlet velocity profiles (flat vs. parabolic).
Main Results:
- The 3D reconstruction method demonstrated a mean error of approximately 6% when validated against 3D printed phantoms.
- CFD simulations showed similar helical flow structures across different scenarios (with/without bifurcation, flat/parabolic profiles).
- Wall shear stress in the stented region exhibited negligible differences (<0.5%) between the simulated scenarios.
Conclusions:
- A validated and robust method for creating patient-specific 3D models of stented diseased arteries from CT data has been established.
- CFD analysis using these models can provide insights into hemodynamics relevant to in-stent restenosis.
- The findings suggest that key hemodynamic features like helical flow are consistent across variations in bifurcation and inlet profiles within the stented region.
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