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Updated: Jan 28, 2026

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
Published on: January 18, 2021
Development of multi-purpose 3D printed phantoms for MRI
Robba Rai1,2,3,4, Yu Feng Wang5, David Manton3
1South Western Sydney Clinical School, University of New South Wales, Liverpool, NSW 2170, Australia.
This study introduces 3D printed MRI phantoms made from solid materials, offering advantages over traditional liquid-filled phantoms. These novel phantoms enable accurate imaging for distortion, motion artifact reduction, and reproducible texture analysis in MRI.
Area of Science:
- Medical Imaging
- Materials Science
- Biomedical Engineering
Background:
- Traditional MRI phantoms often require filling and can be prone to artifacts.
- Developing novel phantom materials is crucial for advancing MRI quality assurance and research.
Purpose of the Study:
- To develop and evaluate 3D printable solid MRI phantoms for various applications.
- To demonstrate the advantages of 3D printed phantoms over conventional ones.
Main Methods:
- Manufacturing MRI phantoms using MRI-visible and invisible materials.
- Characterizing material properties including T1, T2 relaxation times, and CT electron density.
- Testing phantom performance for geometric accuracy, motion artifact reduction, and textural analysis reproducibility on 3T and open bore MRI systems.
Main Results:
- Three distinct phantoms were successfully created: a distortion phantom, a solid tumor model, and a texture analysis test object.
- The 3D printed phantoms demonstrated suitability and advantages, including accurate geometric measurements and reduced motion artifacts.
- Texture analysis yielded reproducible measurements with an Intraclass Correlation Coefficient (ICC) > 0.9 for over 76% of features.
Conclusions:
- 3D printable solid materials offer a viable and advantageous alternative for MRI phantom development.
- These novel phantoms can be effectively utilized for assessing MRI system performance, including distortion, motion, and texture analysis.
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