Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-06-005 ISMRM Abstract

Assessment of Glioma Solid Stress Using MR Elastography and 3D Volumetric MRI

Primary: Contrast Mechanisms - Elastography
Secondary: Neuro - Tumors
563-06-005 · From Molecular Signatures to Surgical Guidance: Cutting-Edge MRI in Brain Tumor Care · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row D
Keywords: Elastography Glioma Glioblastoma Stiffness Deformable image registration
Accepted
Noah Jaitner 1, Mehrgan Shahryari1, Jakob Schattenfroh1, Tom Meyer1, Hossein S Aghamiry1, Jakob Ludwig1, Jakob Jordan1, Anastasia Janas2,3,4, Anna Morr1, Biru Huang1, Boshra Shams2,5, Thomas Picht2,5, Gueliz Acker2,4, Tobias Schaeffter6, Jing Guo1, Ingolf Sack1
1Department of Radiology, Charité – Universitätsmedizin Berlin, Berlin, Germany
2Department of Neurosurgery, Charité – Universitätsmedizin Berlin, Berlin, Germany
3Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
4Department of Radiation Oncology and Radiotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany
5Cluster of Excellence: “Matters of Activity. Image Space Material”, Humboldt University, Berlin, Germany
6Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany
Presenting Author: Noah Jaitner

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References

1. Salvalaggio, A., Pini, L., Bertoldo, A., & Corbetta, M. (2024). Glioblastoma and brain connectivity: the need for a paradigm shift. The Lancet Neurology, 23(7), 740–748. https://doi.org/10.1016/s1474-4422(24)00160-1 [doi]
2. Nia, H. T., Liu, H., Seano, G., Datta, M., Jones, D., Rahbari, N., Incio, J., Chauhan, V. P., Jung, K., Martin, J. D., Askoxylakis, V., Padera, T. P., Fukumura, D., Boucher, Y., Hornicek, F. J., Grodzinsky, A. J., Baish, J. W., Munn, L. L., & Jain, R. K. (2016). Solid stress and elastic energy as measures of tumour mechanopathology. Nature Biomedical Engineering, 1(1). https://doi.org/10.1038/s41551-016-0004 [doi]
3. Streitberger, K., Lilaj, L., Schrank, F., Braun, J., Hoffmann, K., Reiss-Zimmermann, M., Käs, J. A., & Sack, I. (2019). How tissue fluidity influences brain tumor progression. Proceedings of the National Academy of Sciences, 117(1), 128–134. https://doi.org/10.1073/pnas.1913511116 [doi]
4. Ismail, M., Prasanna, P., Bera, K., Statsevych, V., Hill, V., Singh, G., Partovi, S., Beig, N., McGarry, S., Laviolette, P., Ahluwalia, M., Madabhushi, A., & Tiwari, P. (2022). Radiomic Deformation and Textural Heterogeneity (R-DEPTH) descriptor to characterize tumor field effect: Application to survival Prediction in glioblastoma. IEEE Transactions on Medical Imaging, 41(7), 1764–1777. https://doi.org/10.1109/tmi.2022.3148780 [doi]
5. Tzschätzsch, H., Guo, J., Dittmann, F., Hirsch, S., Barnhill, E., Jöhrens, K., Braun, J., & Sack, I. (2016b). Tomoelastography by multifrequency wave number recovery from time-harmonic propagating shear waves. Medical Image Analysis, 30, 1–10. https://doi.org/10.1016/j.media.2016.01.001 [doi]
6. Chen, J., Frey, E. C., He, Y., Segars, W. P., Li, Y., & Du, Y. (2022). TransMorph: Transformer for unsupervised medical image registration. Medical Image Analysis, 82, 102615. https://doi.org/10.1016/j.media.2022.102615 [doi]

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http://echo.ismrm.org/p/ISMRM2026/563-06-005