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Quantitative Assessment of Penetration Depth in Clinical Ultrasound Systems

[+] Author Affiliations
Franco Marinozzi, Fabiano Bini, Federico Patanè, Daniele Piras

University of Rome “La Sapienza”, Roma, Italy

Paper No. BioMed2007-38040, pp. 105-106; 2 pages
doi:10.1115/BioMed2007-38040
From:
  • ASME 2007 2nd Frontiers in Biomedical Devices Conference
  • ASME 2007 2nd Frontiers in Biomedical Devices
  • Irvine, California, USA, June 7–8, 2007
  • Conference Sponsors: Nanotechnology Institute
  • ISBN: 0-7918-4266-5 | eISBN: 0-7918-3797-1
  • Copyright © 2007 by ASME

abstract

Most of the recent studies for image uniformity assessment involve signal to noise ratio (SNR) analysis computed over various combinations of mean grey level and variance [1–2] to quantify the speckle contrast and hence the depth of penetration (DOP). Speckle is auto correlated in time but not in space. Electronic noise always present at the bottom of the image, instead, is uncorrelated both in time and space. The extension of the area in which only the speckle is visible, gives an estimate of the penetration depth. The correlation coefficient of two subsequently acquired frames can be computed to quantify image uniformity where depth at which the correlation coefficient falls below a fixed threshold is defined as penetration depth.

Copyright © 2007 by ASME

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