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668-04-009
ISMRM Abstract
Uniquely soft: evidence of uniqueness in viscoelastic intrinsic MR elastography enabled by the ultra-soft brain
Accepted
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1. Budday, S., Ovaert, T. C., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2020). Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue. Archives of Computational Methods in Engineering, 27(4), 1187–1230. https://doi.org/10.1007/s11831-019-09352-w [doi]
2. Hiscox, L. V., McGarry, M. D. J., Schwarb, H., Van Houten, E. E. W., Pohlig, R. T., Roberts, N., Huesmann, G. R., Burzynska, A. Z., Sutton, B. P., Hillman, C. H., Kramer, A. F., Cohen, N. J., Barbey, A. K., Paulsen, K. D., & Johnson, C. L. (2020). Standard‐space atlas of the viscoelastic properties of the human brain. Human Brain Mapping, 41(18), 5282–5300. https://doi.org/10.1002/hbm.25192 [doi]
3. Burman Ingeberg, M., Van Houten, E., & Zwanenburg, J. J. M. (2025). Evaluating the Performance and Repeatability of Poroelastic and Poroviscoelastic Models in Intrinsic MR Elastography. NMR in Biomedicine, 38(7), e70073. https://doi.org/10.1002/nbm.70073 [doi]
4. Herthum, H., Dempsey, S. C. H., Samani, A., Schrank, F., Shahryari, M., Warmuth, C., Tzschätzsch, H., Braun, J., & Sack, I. (2021). Superviscous properties of the in vivo brain at large scales. Acta Biomaterialia, 121, 393–404. https://doi.org/10.1016/j.actbio.2020.12.027 [doi]
5. McGarry, M., Van Houten, E., Solamen, L., Gordon-Wylie, S., Weaver, J., & Paulsen, K. (2019). Uniqueness of poroelastic and viscoelastic nonlinear inversion MR elastography at low frequencies. Physics in Medicine and Biology, 64(7), 075006. https://doi.org/10.1088/1361-6560/ab0a7d [doi]
6. Adams, A. L., Viergever, M. A., Luijten, P. R., & Zwanenburg, J. J. M. (2020). Validating faster DENSE measurements of cardiac-induced brain tissue expansion as a potential tool for investigating cerebral microvascular pulsations. NeuroImage, 208, 116466. https://doi.org/10.1016/j.neuroimage.2019.116466 [doi]
7. Van Houten, E. E., Miga, M. I., Weaver, J. B., Kennedy, F. E., & Paulsen, K. D. (2001). Three-dimensional subzone-based reconstruction algorithm for MR elastography. Magnetic Resonance in Medicine, 45(5), 827–837. https://doi.org/10.1002/mrm.1111 [doi]
8. Smith, D. R., Caban-Rivera, D. A., McGarry, M. D. J., Williams, L. T., McIlvain, G., Okamoto, R. J., Van Houten, E. E. W., Bayly, P. V., Paulsen, K. D., & Johnson, C. L. (2022). Anisotropic mechanical properties in the healthy human brain estimated with multi-excitation transversely isotropic MR elastography. Brain Multiphysics, 3, 100051. https://doi.org/10.1016/j.brain.2022.100051 [doi]
9. Caban-Rivera, D. A., Williams, L. T., McGarry, M. D. J., Smith, D. R., Van Houten, E. E. W., Paulsen, K. D., Bayly, P. V., & Johnson, C. L. (2024). Mechanical Properties of White Matter Tracts in Aging Assessed via Anisotropic MR Elastography. https://doi.org/10.1101/2024.05.08.593260 [doi]
Cite this abstract
http://echo.ismrm.org/p/ISMRM2026/668-04-009