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Digital Filtering of Acoustic Images

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Acoustical Imaging

Part of the book series: Acoustical Imaging ((ACIM,volume 11))

Abstract

We describe in this paper the use of various types of filtering techniques to improve the resolution of a Varian V3000 real-time ultrasonic imaging system. This system, which operates at 2.25 MHz center frequency, employs a 32-element imaging array 1.28 cm wide. Thirty-two elements are used on transmit and the central sixteen elements on receive. After envelope detection, the image intensity obtained is stored in a solid state RAM and is available for digital processing, as shown in Fig. 1.

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References

  1. B. Burgoyne, Ph.D. Thesis, in preparation.

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  2. B. R. Frieden, “Image Enhancement and Restoration,” Topics in Applied Physics 6, Ch. 5, Springer Verlag, New York (1978).

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  3. G. T. Herman and A. Lent, “Iterative Reconstruction Algorithms,” Comput. Biol. Med. 6, Pergamon Press, 273–294 (1976).

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  4. B. Widrow and J. M. McCool, “A Comparison of Adaptive Algorithms Based on the Methods of Steepest Descent and Random Search,” IEEE Trans. Antennas Propagat. AP-24, 616, 637 (1976).

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  5. G. T. Herman and A. Lent, “A Computer Implementation of a Bayesian Analysis of Image Reconstruction,” State Univ. of New York, Buffalo, New York, Tech. Rep. 91, 1974.

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  6. J. W. Goodman, “Statistical Optics,” Class Notes, 1980.

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  7. H. J. Trussell, “Notes on Linear Image Restoration by Maximizing the A Posteriori Probability,” IEEE Trans. Acoustics, Speech and Signal Processing, ASSP-26, April, 1978.

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Author information

Authors and Affiliations

  1. Varian Associates 611 Hansen Way, Palo Alto, Ca., 94303, USA

    B. Burgoyne & J. Pavkovich

  2. Ginzton Laboratory, Stanford University, Stanford, Ca., 94305, USA

    G. S. Kino

Authors
  1. B. Burgoyne
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  2. J. Pavkovich
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  3. G. S. Kino
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Editor information

Editors and Affiliations

  1. Naval Postgraduate School, Monterey, California, USA

    John P. Powers

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© 1982 Plenum Press, New York

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Burgoyne, B., Pavkovich, J., Kino, G.S. (1982). Digital Filtering of Acoustic Images. In: Powers, J.P. (eds) Acoustical Imaging. Acoustical Imaging, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-1137-9_13

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  • DOI: https://doi.org/10.1007/978-1-4684-1137-9_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-1139-3

  • Online ISBN: 978-1-4684-1137-9

  • eBook Packages: Springer Book Archive

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