Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
361-01-004 ISMRM Abstract

Respiratory-Resolved 3D Volumetric MRI and Elastography towards Non-Invasive Assessment of Portal Pressure

Primary: Contrast Mechanisms - Elastography
Secondary: Body - Liver
361-01-004 · Advanced Quantitative Liver MRI: Radiomics, Elastography, and AI · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row B
Keywords: Elastography Segmentation Stiffness Self-navigation
Accepted
Noah Jaitner 1, Steffen Häseli1, Jakob Schattenfroh1, Rolf Reiter1,2, Jing Guo1, Tobias Schaeffter3, Christoph Kolbitsch3, Ingolf Sack1
1Department of Radiology, Charité – Universitätsmedizin Berlin, Berlin, Germany
2Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Digital Clinician Scientist Program, Berlin, Germany
3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany
Presenting Author: Noah Jaitner

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References

1. Anders, M., Meyer, T., Warmuth, C., Pfeuffer, J., Tzschaetzsch, H., Herthum, H., Shahryari, M., Degenhardt, K., Wieben, O., Schmitter, S., Schulz‐Menger, J., Schaeffter, T., Braun, J., & Sack, I. (2023). Rapid MR elastography of the liver for subsecond stiffness sampling. Magnetic Resonance in Medicine, 91(1), 312–324. https://doi.org/10.1002/mrm.29859 [doi]
2. Jaitner, N., Safraou, Y., Anders, M., Schattenfroh, J., Meyer, T., Huang, B., Jordan, J., Boehm, O., Caiazzo, A., Schaeffter, T., Mura, J., Guo, J., & Sack, I. (2025). Noninvasive assessment of portal pressure by combined measurement of volumetric strain and stiffness of in vivo human liver. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2025.03.016 [doi]
3. Ippoliti, M., Lukas, M., Brenner, W., Schatka, I., Furth, C., Schaeffter, T., Makowski, M. R., & Kolbitsch, C. (2021). Respiratory motion correction for enhanced quantification of hepatic lesions in simultaneous PET and DCE-MR imaging. Physics in Medicine and Biology, 66(9), 095012. https://doi.org/10.1088/1361-6560/abf51e [doi]
4. Boubertakh, R., Prieto, C., Batchelor, P., Uribe, S., Atkinson, D., Eggers, H., Sørensen, T., Hansen, Razavi, R., & Schaeffter, T. (2009). Whole‐heart imaging using undersampled radial phase encoding (RPE) and iterative sensitivity encoding (SENSE) reconstruction. Magnetic Resonance in Medicine, 62(5), 1331–1337. https://doi.org/10.1002/mrm.22102 [doi]
5. Zimmermann, F. F., Schuenke, P., Aigner, C. S., Bernhardt, B. A., Guastini, M., Hammacher, J., Jaitner, N., Kofler, A., Lunin, L., Martin, S., Kranich, C. R., Schattenfroh, J., Schote, D., Wu, Y., & Kolbitsch, C. (2025). MRpro - open PyTorch-based MR reconstruction and processing package. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2507.23129 [doi]
6. Tzschätzsch, H., Guo, J., Dittmann, F., Hirsch, S., Barnhill, E., Jöhrens, K., Braun, J., & Sack, I. (2016). 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]
7. Isensee, F., Jaeger, P. F., Kohl, S. a. A., Petersen, J., & Maier-Hein, K. H. (2020). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature Methods, 18(2), 203–211. https://doi.org/10.1038/s41592-020-01008-z [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/361-01-004