Literature DB >> 3512650

Application of stochastic analysis to ultrasonic echoes--estimation of attenuation and tissue heterogeneity from peaks of echo envelope.

P He, J F Greenleaf.   

Abstract

A study of the statistics of ultrasound speckle indicates that the noise-to-signal ratio (NSR) of the echo envelope peaks (EEP) in a B scan is monotonically related to the variance of the mean power of the backscattered echoes. If it is assumed that the backscattered echoes all have the same mean power, the NSR of the EEP's in a B scan will be expected to reach a theoretical minimum value NSR0 (0.40 approximately 0.42). In practical situations, the variance of the mean power of the echoes is increased due to the presence of both attenuation (including beam spreading) and the spatial variation in the backscattering cross section (BCS) of the tissue. Accordingly, the measured value of the NSR of the EEP's is expected to be greater than the NSR0. In principle, the effects of beam pattern and the attenuation can be compensated for by system calibration and a depth-related gain function, respectively. The attenuation coefficient of the tissue may then be obtained by adjusting the gain function to minimize the NSR of the EEP's. Due to the random nature of the heterogeneity of diseased tissue, the effect of the variation in the BCS, however, cannot be compensated for by the depth-related gain function. Therefore, the minimum value of the NSR indicates the spatial variation in the BCS and may finally correlate to the disease state of the tissue.

Mesh:

Year:  1986        PMID: 3512650     DOI: 10.1121/1.393540

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  9 in total

1.  Time domain attenuation estimation method from ultrasonic backscattered signals.

Authors:  Goutam Ghoshal; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2012-07       Impact factor: 1.840

2.  Estimating the total ultrasound attenuation along the propagation path by using a reference phantom.

Authors:  Yassin Labyed; Timothy A Bigelow
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

3.  Ultrasound attenuation estimation using backscattered echoes from multiple sources.

Authors:  Timothy A Bigelow
Journal:  J Acoust Soc Am       Date:  2008-08       Impact factor: 1.840

4.  Simultaneous estimation of attenuation and structure parameters of aggregated red blood cells from backscatter measurements.

Authors:  Emilie Franceschini; François T H Yu; Guy Cloutier
Journal:  J Acoust Soc Am       Date:  2008-04       Impact factor: 1.840

5.  Ultrasound characterization of red blood cell aggregation with intervening attenuating tissue-mimicking phantoms.

Authors:  Emilie Franceschini; François T H Yu; François Destrempes; Guy Cloutier
Journal:  J Acoust Soc Am       Date:  2010-02       Impact factor: 1.840

6.  Spectral analysis framework for compressed sensing ultrasound signals.

Authors:  Jaeyoon Shim; Don Hur; Hyungsuk Kim
Journal:  J Med Ultrason (2001)       Date:  2019-04-06       Impact factor: 1.314

7.  Optimization of the algorithms for estimating the ultrasonic attenuation along the propagation path.

Authors:  Yassin Labyed; Timothy A Bigelow
Journal:  Ultrasonics       Date:  2012-02-02       Impact factor: 2.890

8.  Estimating the total ultrasound attenuation along the propagation path by applying multiple filters to backscattered echoes from a single spherically focused source.

Authors:  Timothy Bigelow
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010-04       Impact factor: 2.725

9.  Improved algorithm for estimation of attenuation along propagation path using backscattered echoes from multiple sources.

Authors:  Timothy A Bigelow
Journal:  Ultrasonics       Date:  2009-10-22       Impact factor: 2.890

  9 in total

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