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Updated: Sep 22, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Additively manufactured, solid object structures for adjustable image contrast in Magnetic Resonance Imaging.
Alejandra Valladares1, Gunpreet Oberoi2, Andreas Berg3
1QIMP Team, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Researchers developed novel additive manufacturing (AM) techniques to create solid Magnetic Resonance Imaging (MRI) phantoms. These phantoms allow controllable MRI contrast, mimicking complex tissue heterogeneities for improved imaging applications.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Materials Science
Background:
- Current Magnetic Resonance Imaging (MRI) phantoms are limited by material choices, primarily using water-filled or gel-based components.
- Additive manufacturing (AM) has enabled complex phantom geometries, but lacks controllable MRI contrast for mimicking biological tissues.
- There is a need for advanced MRI phantoms capable of simulating organ substructures and lesion heterogeneities.
Purpose of the Study:
- To introduce a novel AM design for MRI phantoms with adjustable contrast properties.
- To enable MRI contrast manipulation by controlling the partial volume of MRI-visible materials within voxels.
- To create realistic phantoms for simulating heterogeneous tumor tissues.
Main Methods:
- Designed and 3D printed two sets of 11 cubes and three spherical tumor models using AM.
- Utilized varying partial volume contributions of MRI-visible materials within the printed objects.
- Evaluated MRI contrast in standard MRI sequences based on spin density and partial volume signal variations.
Main Results:
- Most fabricated samples exhibited varied MRI contrast in standard MRI sequences.
- Contrast variations were primarily attributed to differences in spin density and partial volume effects.
- A smooth, continuous MRI contrast gradient was successfully generated within a single-compartment tumor model.
Conclusions:
- The novel AM approach allows for the creation of MRI phantoms with tunable contrast.
- This technique effectively mimics the appearance of heterogeneous biological tissues, particularly tumors.
- The developed concept facilitates the advancement of more sophisticated MRI phantoms for research and diagnostics.
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