Speckle analysis using signal to noise ratios based on fractional order moments

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

The SNR (signal-to-noise ratio) of the echo envelope image is a monotonically-increasing function of scatterer number density. Various SNRs, like amplitude SNR and intensity SNR, call be used to quantify the scatterer density. The problem of using a SNR based on higher order moments like the intensity SNR is that they require large sample sizes to obtain estimates with high confidence (the variance of the estimate becomes large for higher moments). In this paper, we consider SNRs based on fractional order moments (moments of order less than 1), and obtain mathematical analyses of their properties using the K distribution, which has been shown to be a good model for the density function of backscatter echo envelope signal. Statistics of SNRs based on fractional moment are derived and appear to be more robust and useful than the amplitude and intensity SNRs previously studied. The SNRs based on fractional order moments have greater dynamic range and the sample size requirements are smaller than those for integral order moment SNRs, like amplitude SNR or intensity SNR. Thus, SNRs based on fractional order moments could be used to better quantify the variations in scatterer density which can be used for tissue classification problems.

Original languageEnglish (US)
Pages (from-to)251-268
Number of pages18
JournalUltrasonic Imaging
Volume17
Issue number4
DOIs
StatePublished - 1995

Fingerprint

Signal-To-Noise Ratio
signal to noise ratios
moments
Sample Size
echoes
envelopes
scattering
estimates
dynamic range
confidence
statistics
requirements

Keywords

  • Echo ultrasound imaging
  • fractional moments
  • K distribution model
  • SNR statistics
  • speckle statistics
  • tissue characterization

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Acoustics and Ultrasonics
  • Radiological and Ultrasound Technology

Cite this

Speckle analysis using signal to noise ratios based on fractional order moments. / Dutt, V.; Greenleaf, James F.

In: Ultrasonic Imaging, Vol. 17, No. 4, 1995, p. 251-268.

Research output: Contribution to journalArticle

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