journal article·2026-05-19Open access

Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity

Weijie Zhao, Lisa‐Marie Skrip, Heiko Tzschätzsch, Tom Meyer, Hossein S. Aghamiry, Alexander Arnold, Lene Änne Böhne, Jakob Jordan, Oliver Boehm, Agnes K. Boehm, Steffen Görner, Jakob Schattenfroh, Yanglei Wu, Pedro Augusto Dantas de Moraes, Johann Pratschke, Jürgen Braun, Igor M. Sauer, Jing Guo, Ingolf Sack, Karl H. Hillebrandt

Abstract

ABSTRACT Compact, cost‐effective tabletop magnetic resonance elastography (ttMRE) is an emerging research tool for assessing bulk soft tissue biomechanics but still lacks spatially resolved imaging of viscoelastic properties in heterogeneous specimens like tumors. Here, we develop and validate ttMRE for quantifying intratumoral biomechanical heterogeneity in human colorectal liver metastasis (CRLM). We excite cylindrical, multifrequency shear waves and reconstruct viscoelastic maps using adaptive bandpass filters constrained by rheological Bessel‐fit priors. In this way, we obtain biophysical markers that agree with ground‐truth measurements in numerical and viscoelastic phantoms. In CRLM, shear‐wave‐speed and penetration‐rate maps – proxies of stiffness and attenuation, respectively – as well as their derived interquartile range and Shannon entropy, suggest markedly less viscous, stiffer, and more biomechanical heterogeneous tissue in specimens from responders to chemotherapy versus non‐responders, with heterogeneity metrics outperforming direct viscoelastic parameters in diagnostic accuracy. These findings establish compact, automated ttMRE as a low‐cost, scalable platform for spatial biomechanical profiling and quantitative assessment of treatment response in bulky colorectal liver metastasis specimens.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Ultrasound Imaging and Elastography · Bone health and osteoporosis research · Elasticity and Material Modeling

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Radiology Charité – Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

Department of Surgery Experimental Surgery, CCM|CVK Charité – Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

Institute of Medical Informatics Charité – Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

Institute of Pathology Charité – Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

BIH Charité Digital Clinician Scientist Program Berlin Institute of Health at Charité – Universitätsmedizin Berlin BIH Biomedical Innovation Academy Berlin Germany

References (64)

Show source-provided references
1. 10.1038/s41467‐024‐53374‐310.1038/s41467‐024‐53374‐3 ↗
2. 10.1126/science.aaz086810.1126/science.aaz0868 ↗
3. 10.1038/s41567‐022‐01755‐010.1038/s41567‐022‐01755‐0 ↗
4. Changes in Tissue Fluidity Predict Tumor Aggressiveness In Vivo10.1002/advs.202303523 ↗
5. 10.1038/s42254‐022‐00543‐210.1038/s42254‐022‐00543‐2 ↗
6. 10.1097/RLI.000000000000097110.1097/RLI.0000000000000971 ↗
7. 10.1148/radiol.202121900810.1148/radiol.2021219008 ↗
8. Rectal Tumor Stiffness Quantified by In Vivo Tomoelastography and Collagen Content Estimated by Histopathology Predict Tumor Aggressiveness10.3389/fonc.2021.701336 ↗
9. 10.1158/0008‐5472.CAN‐19‐215010.1158/0008‐5472.CAN‐19‐2150 ↗
10. Multi‐Institutional Survey on Abdominopelvic Applications of MR Elastography10.1007/s00330-025-12002-4 ↗
11. 10.1088/0031‐9155/56/19/01410.1088/0031‐9155/56/19/014 ↗
12. 10.1002/mrm.2449510.1002/mrm.24495 ↗
13. 10.1039/C8SM02264J10.1039/C8SM02264J ↗
14. 10.3389/fphys.2020.60520510.3389/fphys.2020.605205 ↗
15. 10.1016/j.jmbbm.2020.10364010.1016/j.jmbbm.2020.103640 ↗
16. Effect of Post‐Mortem Interval and Perfusion on the Biophysical Properties of Ex Vivo Liver Tissue Investigated Longitudinally by MRE and DWI10.3389/fphys.2021.696304 ↗
17. 10.1016/j.bioadv.2022.21299910.1016/j.bioadv.2022.212999 ↗
18. 10.1016/j.bioadv.2024.21388410.1016/j.bioadv.2024.213884 ↗
19. 10.1016/j.actbio.2024.05.00710.1016/j.actbio.2024.05.007 ↗
20. 10.1186/s12967‐024‐05559‐z10.1186/s12967‐024‐05559‐z ↗
21. 10.1016/j.jmbbm.2024.10671110.1016/j.jmbbm.2024.106711 ↗
22. 10.1002/mrm.2906610.1002/mrm.29066 ↗
23. 10.1016/j.jmbbm.2024.10674610.1016/j.jmbbm.2024.106746 ↗
24. 10.1002/mrm.2665910.1002/mrm.26659 ↗
25. Tomoelastography by Multifrequency Wave Number Recovery From Time‐Harmonic Propagating Shear Waves10.1016/j.media.2016.01.001 ↗
26. 10.1088/0305‐4470/28/23/01210.1088/0305‐4470/28/23/012 ↗
27. 10.1118/1.345473810.1118/1.3454738 ↗
28. 10.1097/RLI.000000000000086210.1097/RLI.0000000000000862 ↗
29. 10.1016/j.tibtech.2021.11.00610.1016/j.tibtech.2021.11.006 ↗
30. 10.1177/247255521668272510.1177/2472555216682725 ↗
31. Cover T. M. · 200510.1002/047174882X ↗
32. 10.52601/bpr.2025.24004910.52601/bpr.2025.240049 ↗
33. 10.1038/nature1262710.1038/nature12627 ↗
34. 10.1038/nrclinonc.2017.16610.1038/nrclinonc.2017.166 ↗
35. 10.1016/j.ccell.2023.02.01610.1016/j.ccell.2023.02.016 ↗
36. 10.1038/s41586‐020‐2612‐210.1038/s41586‐020‐2612‐2 ↗
37. Tumor Biomechanics Quantified Using MR Elastography to Predict Response to Neoadjuvant Chemotherapy in Individuals With Breast Cancer10.1148/rycan.240138 ↗
38. 10.1016/j.canlet.2023.21658310.1016/j.canlet.2023.216583 ↗
39. 10.1002/cncr.2318410.1002/cncr.23184 ↗
40. 10.1186/s12885‐024‐12027‐w10.1186/s12885‐024‐12027‐w ↗
41. 10.3389/fphar.2014.0005110.3389/fphar.2014.00051 ↗
42. 10.1097/PAS.0b013e31824057e710.1097/PAS.0b013e31824057e7 ↗
43. Technical Recommendation on Multi‐Driver Multifrequency MR Elastography for Tomographic Mapping of Abdominal Stiffness With a Focus on the Pancreas and Pancreatic Ductal Adenocarcinoma10.1097/RLI.0000000000001231 ↗
44. 10.1245/s10434‐020‐08284‐110.1245/s10434‐020‐08284‐1 ↗
45. 10.1245/s10434‐024‐15196‐x10.1245/s10434‐024‐15196‐x ↗
46. 10.1016/j.suronc.2021.10157810.1016/j.suronc.2021.101578 ↗
47. 10.1007/s00330‐020‐06706‐y10.1007/s00330‐020‐06706‐y ↗
48. Comparative Study of the Viscoelastic Mechanical Behavior of Agarose and Poly (Ethylene Glycol) Hydrogels10.1002/jbm.b.31883 ↗
49. 10.1299/mej.14‐0041710.1299/mej.14‐00417 ↗
50. 10.1016/j.pnmrs.2024.05.00210.1016/j.pnmrs.2024.05.002 ↗
51. 10.1190/1.144397910.1190/1.1443979 ↗
52. 10.1071/EG984265a10.1071/EG984265a ↗
53. 10.1190/geo2021‐0606.110.1190/geo2021‐0606.1 ↗
54. 10.1190/geo2018‐0093.110.1190/geo2018‐0093.1 ↗
55. 10.1109/TMI.2023.332492210.1109/TMI.2023.3324922 ↗
56. Arbitrary Source and Receiver Positioning in Finite‐Difference Schemes Using Kaiser Windowed Sinc Functions10.1190/1.1451454 ↗
57. 10.1111/j.2517‐6161.1995.tb02032.x10.1111/j.2517‐6161.1995.tb02032.x ↗
58. 10.1016/j.actbio.2021.10.03810.1016/j.actbio.2021.10.038 ↗
59. 10.1093/annonc/mdl38610.1093/annonc/mdl386 ↗
60. 10.1364/JOSAA.14.00269210.1364/JOSAA.14.002692 ↗
61. 10.1016/S1361‐8415(03)00038‐010.1016/S1361‐8415(03)00038‐0 ↗
62. 10.1090/S0025‐5718‐99‐01033‐910.1090/S0025‐5718‐99‐01033‐9 ↗
63. 10.1002/mrm.2824710.1002/mrm.28247 ↗
64. 10.1137/S003614459630139010.1137/S0036144596301390 ↗