360-02-001 ISMRM Abstract

MRE-FIn: Open-Source Finite Element Framework for Inversion in Magnetic Resonance Elastography

Primary: Contrast Mechanisms - Elastography

Secondary: Analysis Methods - Software Tools

360-02-001 · Machine Learning for Image Reconstruction · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row A

Keywords: Elastography Optimization Finite element analysis Shear Stiffness Reconstruction Non-linear inversion

Accepted

Henrik Palme ¹, Rodrigo Moreno¹

¹Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden

Presenting Author: Henrik Palme

Synopsis

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References

1. I. A. Baratta, J. P. Dean, J. S. Dokken, M. Habera, J. S. Hale, C. N. Richardson, M. E. Rognes, M. W. Scroggs, N. Sime, and G. N. Wells. DOLFINx: The next generation FEniCS problem solving environment, preprint (2023). https://doi.org/10.5281/zenodo.10447666 [doi]

2. M. S. Alnaes, A. Logg, K. B. Ølgaard, M. E. Rognes and G. N. Wells. Unified Form Language: A domain-specific language for weak formulations of partial differential equations, ACM Transactions on Mathematical Software 40 (2014). [doi: 10.1145/2566630] [doi]

3. L. Tan et al., "Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography," in IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 236-250, Jan. 2017, doi: 10.1109/TMI.2016.2604568. [doi]

4. P. Bayly et al. "MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury", Ann Biomed Eng (2021), https://doi.org/10.1007/s10439-021-02820-0 [doi]

5. Van Houten EE, Paulsen KD, Miga MI, Kennedy FE, Weaver JB. An overlapping subzone technique for MR-based elastic property reconstruction. Magn Reson Med. 1999 Oct;42(4):779-86. doi: 10.1002/(sici)1522-2594(199910)42:4<779::aid-mrm21>3.0.co;2-z. PMID: 10502768. [doi] [pmid]

6. Bustin, H., Meyer, T., Reiter, R., Jordan, J., Walczak, L., Tzsch¨atzsch, H., Sack, I., Hennemuth, A., 2025. ElastoNet: Neural network-based multicomponent MR elastography wave inversion with uncertainty quantification. Med. Image Anal. 105, 103642. https://doi.org/10.1016/J.MEDIA.2025.103642. [doi]

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http://echo.ismrm.org/p/ISMRM2026/360-02-001