A reusable 3D printed brain-like phantom for benchmarking electrical properties tomography reconstructions

  • T. G. Meerbothe*
  • , S. Florczak
  • , C. A.T. van den Berg
  • , R. Levato
  • , S. Mandija
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Purpose: In MR electrical properties tomography (MR-EPT), electrical properties (EPs, conductivity and permittivity) are reconstructed from MR measurements. Phantom measurements are important to characterize the performance of MR-EPT reconstruction methods, since they allow knowledge of reference EPs values. To assess reconstruction methods in a more realistic scenario, it is important to test the methods using phantoms with realistic shapes, internal structures, and dielectric properties. In this work, we present a 3D printing procedure for the creation of realistic brain-like phantoms to benchmark MR-EPT reconstructions. Methods: We created two brain-like geometries with three different compartments using 3D printing. The first geometry was filled once, while the second geometry was filled three times with different saline-gelatin solutions, resulting in a total of four phantoms with different EPs. The saline solutions were characterized using a probe. 3D MR-EPT reconstructions were performed from MR measurements at 3T. The reconstructed conductivity values were compared to reference values of the saline-gelatin solutions. The measured fields were also compared to simulated fields using the same phantom geometry and electrical properties. Results: The measured fields were consistent with simulated fields. Reconstructed conductivity values were consistent with the reference (probe) conductivity values. This indicated the suitability of such phantoms for benchmarking MR-EPT reconstructions. Conclusion: We presented a new workflow to 3D print realistic brain-like phantoms in an easy and affordable way. These phantoms are suitable to benchmark MR-EPT reconstructions, but can also be used for benchmarking other quantitative MR methods.

Original languageEnglish
Pages (from-to)2271-2279
Number of pages9
JournalMagnetic Resonance in Medicine
Volume92
Issue number5
Early online date9 Jun 2024
DOIs
Publication statusPublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

Funding

We thank Dr. E. Versteeg, Dr. O. van der Heide, and F. Xu for performing the T1, T2 measurements. This work has been financed by the Netherlands Organization for Scientific Research (NWO), VENI grant number: 18078. We acknowledge the contribution for this research by the Artificial Intelligence working group of the EWUU alliance.

FundersFunder number
Netherlands Organisation for Scientific Research (NWO)18078

    Keywords

    • brain models
    • conductivity
    • electrical properties tomography
    • MR phantoms
    • MR-EPT

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