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Cited by 287

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Ultrasound imaging

Wells, P N T·2006·Physics in Medicine and Biology

Abstract

Ultrasound imaging is now in very widespread clinical use. The most important underpinning technologies include transducers, beam forming, pulse compression, tissue harmonic imaging, contrast agents, techniques for measuring blood flow and tissue motion, and three-dimensional imaging. Specialized and emerging technologies include tissue characterization and image segmentation, microscanning and intravascular scanning, elasticity imaging, reflex transmission imaging, computed tomography, Doppler tomography, photoacoustics and thermoacoustics. Phantoms and quality assurance are necessary to maintain imaging performance. Contemporary ultrasonic imaging procedures seem to be safe but studies of bioeffects are continuing. It is concluded that advances in ultrasonic imaging have primarily been pushed by the application of physics and innovations in engineering, rather than being pulled by the identification of specific clinical objectives in need of scientific solutions. Moreover, the opportunities for innovation to continue into the future are both challenging and exciting.

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Crossref · 10.1088/0031-9155/51/13/r06

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Metadata

Authors
Wells, P. N. T.
Venue
Physics in Medicine and Biology
Published
2006-06-20
Volume
51
Issue
13
Pages
R83-R98
ISSN
  • 0031-9155 (ISSN-L)
  • 1361-6560
OpenAlex
W2998457429
Cited by
287
References
2
FWCI
6.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ultrasound imaging. https://app.cochat.ai/papers/10.1088/0031-9155/51/13/r06
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Wells, P. N. T. (2006). Ultrasound imaging. Physics in Medicine and Biology. https://doi.org/10.1088/0031-9155/51/13/r06

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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.