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Explososcan: A parallel processing technique for high speed ultrasound imaging with linear phased arrays

Shattuck, David P., Weinshenker, Marc D., Smith, Stephen W., von Ramm, Olaf T.·1984·The Journal of the Acoustical Society of America

Abstract

The data acquisition rate in medical ultrasonic imaging devices is limited by the acoustic propagation velocity in the tissues. Typically in such machines the image lines are produced sequentially one line per transmitted pulse. A parallel processing scheme has been implemented which enables the data acquisition rate to increase by a factor of four through the simultaneous acquisition of four B-mode image lines from each individual broadened transmit pulse. The higher data rate can be used to increase the image frame rate to produce independent images that can be averaged in the image frame to reduce noise, or to produce a conventional image at standard video frame rates while reducing patient exposure. Alternatively, the field of view can be increased over that of a normal scan without sacrificing frame rate. These advantages are achieved with little reduction in the measured resolution. The design and performance of this device are described. A sample in vivo image is included.

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Metadata

Authors
Shattuck, D. P., Weinshenker, M. D., Smith, S. W., & von Ramm, O. T.
Venue
The Journal of the Acoustical Society of America
Published
1984-04-01
Volume
75
Issue
4
Pages
1273-1282
ISSN
  • 0001-4966 (ISSN-L)
  • 1520-8524
OpenAlex
W2088463844
Cited by
395
References
0
FWCI
2.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Explososcan: A parallel processing technique for high speed ultrasound imaging with linear phased arrays. https://app.cochat.ai/papers/10.1121/1.390734
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Shattuck, D. P., Weinshenker, M. D., Smith, S. W., & von Ramm, O. T. (1984). Explososcan: A parallel processing technique for high speed ultrasound imaging with linear phased arrays. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.390734

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.