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Elastography imaging: the 30 year perspective
Abstract
From the development of x-ray imaging in the late 19th century, the field of medical imaging developed an impressive array of modalities. These can measure and image a variety of physical parameters from absorption coefficients to spin-spin relaxations. However, throughout most of the 20th century, the intrinsic biomechanical properties of tissues remained hidden from conventional radiology. This changed around 1990 when it was demonstrated that medical ultrasound systems with their fast pulse repetition rate and high sensitivity to motion could create images related to the stiffness of tissues and their shear wave properties. From there, vigorous development efforts towards imaging the elastic properties of tissues were launched across different modalities. These progressed from the research phase, through implementation on clinical scanners, through extensive clinical trials of selected diagnostic tasks, to government approvals, payer approvals, international standards statements, and into routine clinical practice around the globe. This review covers highlights of some major topics of the technical and clinical developments over the last 30 years with brief pointers to some of the remaining issues for the next decade of development.
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Fascia Mobility, Proprioception, and Myofascial Pain.
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Metadata
- Authors
- Ormachea, J., & Parker, K. J.
- Affiliations
- University of Rochester (US)
- Corresponding author
- Parker, K J
- Venue
- Physics in Medicine & Biology
- Publisher
- IOP Publishing
- Published
- 2020-12-21
- Volume
- 65
- Issue
- 24
- Pages
- 24TR06
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W3102278395
- Cited by
- 104
- References
- 352
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 29 · 2023: 14 · 2022: 11 · 2021: 8
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- publishingsupport.iopscience.iop.org/iop-standard/v1 (vor)
- iopscience.iop.org/info/page/text-and-data-mining (tdm)
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Elasticity and Material Modeling
- Keywords
- elastography, tissue stiffness imaging, shear wave imaging, ultrasound elastography, history of medical imaging
- MeSH terms
- Radiography, Ultrasonography, Elasticity Imaging Techniques
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.