Literature DB >> 3057714

Deviations from Rayleigh statistics in ultrasonic speckle.

T A Tuthill1, R H Sperry, K J Parker.   

Abstract

The statistics of speckle patterns in ultrasound images have potential for tissue characterization. In "fully developed speckle" from many random scatterers, the amplitude is widely recognized as possessing a Rayleigh distribution. This study examines how scattering populations and signal processing can produce non-Rayleigh distributions. The first order speckle statistics are shown to depend on random scatterer density and the amplitude and spacing of added periodic scatterers. Envelope detection, amplifier compression, and signal bandwidth are also shown to cause distinct changes in the signal distribution.

Mesh:

Year:  1988        PMID: 3057714     DOI: 10.1177/016173468801000201

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  28 in total

1.  Despeckling of medical ultrasound images.

Authors:  Oleg V Michailovich; Allen Tannenbaum
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2006-01       Impact factor: 2.725

2.  Guiding automated left ventricular chamber segmentation in cardiac imaging using the concept of conserved myocardial volume.

Authors:  Christopher D Garson; Bing Li; Scott T Acton; John A Hossack
Journal:  Comput Med Imaging Graph       Date:  2008-06       Impact factor: 4.790

3.  Characterization of lamina propria and vocal muscle in human vocal fold tissue by ultrasound Nakagami imaging.

Authors:  Po-Hsiang Tsui; Chih-Chung Huang; Lei Sun; Seth H Dailey; K Kirk Shung
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

4.  Lower Bound on Estimation Variance of the Ultrasonic Attenuation Coefficient Using the Spectral-Difference Reference-phantom Method.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2016-10-20       Impact factor: 1.578

5.  Assessment of liver fibrosis in chronic hepatitis B using acoustic structure quantification: quantitative morphological ultrasound.

Authors:  Yang Huang; Zhu Wang; Bing Liao; Jin-Yu Liang; Lu-Yao Zhou; Fen Wang; Wei Li; Jin-Ya Liu; Xiao-Yan Xie; Ming-De Lu; Guang-Jian Liu; Wei Wang
Journal:  Eur Radiol       Date:  2015-10-20       Impact factor: 5.315

6.  Quantitative processed images acquired by histogram-SNR imaging used to evaluate parenchymal heterogeneity in the liver.

Authors:  Yasutomo Fujii; Nobuyuki Taniguchi; Kouichi Itoh; Yi Wang; Kouichiro Shigeta; Tomoko Ono; Jing-Wen Tsao; Kenji Kumasaki; Takashi Itoh
Journal:  J Med Ultrason (2001)       Date:  2003-03       Impact factor: 1.314

7.  Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis.

Authors:  Tadashi Yamaguchi; Hiroyuki Hachiya
Journal:  J Med Ultrason (2001)       Date:  2010-07-13       Impact factor: 1.314

8.  The first order statistics of backscatter from the fractal branching vasculature.

Authors:  Kevin J Parker
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

9.  Speckle from branching vasculature: dependence on number density.

Authors:  Kevin J Parker; Sedigheh S Poul
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-11

10.  Non-rigid image registration based strain estimator for intravascular ultrasound elastography.

Authors:  Michael S Richards; Marvin M Doyley
Journal:  Ultrasound Med Biol       Date:  2012-12-15       Impact factor: 2.998

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