Magnetic Resonance Elastography by Direct Visualization of Propagating Acoustic Strain Waves
Abstract
A nuclear magnetic resonance imaging (MRI) method is presented for quantitatively mapping the physical response of a material to harmonic mechanical excitation. The resulting images allow calculation of regional mechanical properties. Measurements of shear modulus obtained with the MRI technique in gel materials correlate with independent measurements of static shear modulus. The results indicate that displacement patterns corresponding to cyclic displacements smaller than 200 nanometers can be measured. The findings suggest the feasibility of a medical imaging technique for delineating elasticity and other mechanical properties of tissue.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Conventional MRE is noninvasive, but it generally relies on externally induced mechanical waves to estimate shear stiffness.
“Conventional MRE is noninvasive, but it generally relies on externally induced mechanical waves to estimate shear stiffness (Muthupillai et al., 1995).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Muthupillai et al., 1995
Magnetic resonance elastography has established that the brain is a viscoelastic organ whose stiffness varies across regions, disease states, and age.
“Magnetic resonance elastography (MRE) (Muthupillai et al., 1995) has established that the brain is a viscoelastic organ whose stiffness varies across regions, disease states, and age.”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Muthupillai et al., 1995
In elastography, it is possible to estimate tissue compliance from the motion of wave imaged using ultrasound or MRI.
“For example, in elastography, it is possible to estimate tissue compliance from the motion of wave imaged using ultrasound or MRI [146], whereas in the heart, myocardial stiffness is associated with disease processes.”
From AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) · cites this paper as [146]
Cites
Biomechanics. Mechanical Properties of Living Tissues
Fung, Y. C., & Skalak, R. (1982) · Journal of Applied Mechanics · doi:10.1115/1.3162171 · Cited by 6,045 · see citing works
Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues
Jonathan Ophir, A., Céspedes, I., Ponnekanti, H., Yazdi, Y., & Li, X. (1991) · Ultrasonic Imaging · doi:10.1177/016173469101300201 · Cited by 3,780 · see citing works
Kolsky, H. (1964) · Journal of Sound and Vibration · doi:10.1016/0022-460x(64)90008-2 · Cited by 2,030 · see citing works
A flow velocity zeugmatographic interlace for NMR imaging in humans
Moran, P. R. (1982) · Magnetic Resonance Imaging · doi:10.1016/0730-725x(82)90170-9 · Cited by 749 · see citing works
Measurement of Flow with NMR Imaging Using a Gradient Pulse and Phase Difference Technique
Bryant, D. J., Payne, J. A., Firmin, D. N., et al. (1984) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198408000-00002 · Cited by 555 · see citing works
Magnetic resonance angiography.
Dumoulin, C. L., & Hart, H. R., Jr. (1986) · Radiology · doi:10.1148/radiology.161.3.3786721 · Cited by 506 · see citing works
Tissue response to mechanical vibrations for “sonoelasticity imaging”
Parker, K. J., Huang, S. R., Musulin, R. A., & Lerner, R. M. (1990) · Ultrasound in Medicine & Biology · doi:10.1016/0301-5629(90)90003-u · Cited by 478 · see citing works
Encoding strategies for three‐direction phase‐contrast MR imaging of flow
Pelc, N. J., Bernstein, M. A., Shimakawa, A. S., et al. (1991) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880010404 · Cited by 454 · see citing works
Direct Cardiac NMR Imaging of Heart Wall and Blood Flow Velocity
van Dijk, P. (1984) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198406000-00012 · Cited by 345 · see citing works
A new ultrasound tissue-equivalent material.
Burlew, M. M., Madsen, E. L., Zagzebski, J. A., et al. (1980) · Radiology · doi:10.1148/radiology.134.2.7352242 · Cited by 225 · see citing works
Detection of sea-water motion by nuclear precession
Hahn, E. L. (1960) · Journal of Geophysical Research Atmospheres · doi:10.1029/jz065i002p00776 · Cited by 197 · see citing works
Local multiscale frequency and bandwidth estimation
Knutsson, H. E., Westin, C.-F., & Granlund, G. H. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.1994.413270 · Cited by 175 · see citing works
Arterial and venous blood flow: noninvasive quantitation with MR imaging.
Pelc, L. R., Pelc, N. J., Rayhill, S. C., et al. (1992) · Radiology · doi:10.1148/radiology.185.3.1438767 · Cited by 175 · see citing works
Ultrasonic shear wave properties of soft tissues and tissuelike materials
Madsen, E. L., Sathoff, H. J., & Zagzebski, J. A. (1983) · The Journal of the Acoustical Society of America · doi:10.1121/1.390158 · Cited by 174 · see citing works
MR imaging of viscoelastic properties
Lewa, C. J., & de Certaines, J. D. (1995) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880050221 · Cited by 47 · see citing works
JMRI: Journal of Magnetic Resonance Imaging
Hannigan, G. G. (1992) · JAMA · doi:10.1001/jama.1992.03490130169056 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2991043 · Cited by 713 · see citing works
Liver stiffness: a novel parameter for the diagnosis of liver disease
Mueller, S. (2010) · Hepatic Medicine: Evidence and Research · doi:10.2147/hmer.s7394 · Cited by 434 · see citing works
Brain mechanical property measurement using MRE with intrinsic activation
Weaver, J. B., Pattison, A. J., McGarry, M. D., Perreard, I. M., Swienckowski, J. G., Eskey, C. J., Lollis, S. S., & Paulsen, K. D. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/22/7275 · Cited by 102 · see citing works
Chang, D., Truong, E., Mena, E. A., Pacheco, F., Wong, M., Guindi, M., Todo, T. T., Noureddin, N., Ayoub, W., Yang, J. D., et al. (2023) · Hepatology · doi:10.1002/hep.32655 · Cited by 92 · see citing works
Magnetic resonance elastography of frontotemporal dementia
Huston, J., Murphy, M. C., Boeve, B. F., Fattahi, N., Arani, A., Glaser, K. J., Manduca, A., Jones, D. T., & Ehman, R. L. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24977 · Cited by 68 · see citing works
Self-citationBrain palpation from physiological vibrations using MRI
Zorgani, A., Souchon, R., Dinh, A.-H., Chapelon, J.-Y., Ménager, J.-M., Lounis, S., Rouvière, O., & Catheline, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1509895112 · Cited by 69 · see citing works
Le Bihan, D. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1858655 · Cited by 1 · see citing works
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“Conventional MRE is noninvasive, but it generally relies on externally induced mechanical waves to estimate shear stiffness ( Muthupillai et al., 1995).”
- Authors
- Muthupillai, R., Lomas, D. J., Rossman, P. J., Greenleaf, J. F., Manduca, A., & Ehman, R. L.
- Affiliations
- Mayo Clinic (US)
- Addenbrooke's Hospital (GB)
- Venue
- Science
- Published
- 1995-09-29
- Volume
- 269
- Issue
- 5232
- Pages
- 1854-1857
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2083039650
- Cited by
- 2,116
- References
- 16
- Citations by year
- 2026: 64 · 2025: 58 · 2024: 60 · 2023: 58 · 2022: 71 · 2021: 82 · 2020: 90 · 2019: 75 · 2018: 109 · 2017: 99 · 2016: 111 · 2015: 123 · 2014: 93 · 2013: 103 · 2012: 119
- FWCI
- 22.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ca051124-06)
- National Cancer Institute (CA51124)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- magnetic resonance elastography, shear modulus, tissue stiffness, gel materials, displacement measurement, tissue mechanical properties, diagnostic imaging
- MeSH terms
- Acoustic Stimulation, Animals, Biomechanical Phenomena, Elasticity, Gels, Kidney, Kidney Cortex, Kidney Medulla, Magnetic Resonance Imaging, Mathematics, Magnetic Resonance Spectroscopy, Sepharose, Stress, Mechanical, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review