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Related Experiment Video

Updated: Sep 24, 2025

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
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3D printed ascending aortic simulators with physiological fidelity for surgical simulation.

Ali Alakhtar1,2, Alexander Emmott3,4, Cornelius Hart4

  • 1Department of Cardiac Surgery, McGill University, Montreal, Québec, Canada.

BMJ Simulation & Technology Enhanced Learning
|May 6, 2022
PubMed
Summary

3D printed aortic simulators using polyjet technology can replicate human aorta distensibility. Embedding fibers in the simulators significantly increased stiffness, enabling better replication of pathological human aortic tissue for surgical training.

Keywords:
high-fidelity simulationquality improvementresident trainingsimulator designsurgical simulation

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Cardiovascular Research

Background:

  • Replicating human aortic tissue properties is crucial for developing effective surgical simulators.
  • Existing simulators often lack the necessary distensibility and material complexity to accurately mimic the ascending aorta.

Purpose of the Study:

  • To evaluate the capability of polyjet 3D printing technology to create multimaterial ascending aortic simulators.
  • To assess the ability of these simulators to replicate the distensibility of human aortic tissue under physiological pressures.

Main Methods:

  • Computer-aided design and 3D printing (Connex3 Objet500) were used to create straight tube and aneurysmal aortic geometries.
  • Two material variants were tested: pure elastic material and elastic material with embedded fibers.
  • Stiffness was quantified using the β Stiffness Index under physiological pressure and verified with biaxial tensile testing.

Main Results:

  • The addition of embedded fibers significantly increased the β Stiffness Index in both geometries (p<0.001).
  • Fiber-embedded simulators exhibited stiffness values overlapping with the upper range of human tissue, suggesting potential for replicating pathological conditions.
  • Tensile testing confirmed significantly higher stiffness and energy loss in fiber-embedded models compared to pure elastic models (p<0.001).

Conclusions:

  • Dynamic, ultrasound-compatible aortic simulators were successfully developed using 3D printed composites.
  • The stiffness of these simulators can be tuned by incorporating embedded fibers, allowing for better representation of human tissue stiffness variations.
  • These advanced simulators hold potential as effective tools for surgical training.