Literature DB >> 20620691

A critical review and uniformized representation of statistical distributions modeling the ultrasound echo envelope.

François Destrempes1, Guy Cloutier.   

Abstract

In ultrasound imaging, various statistical distributions have been proposed to model the first-order statistics of the amplitude of the echo envelope. We present an overview of these distributions based on their compound representation, which comprises three aspects: the modulated distribution (Rice or Nakagami); the modulating distribution (gamma, inverse Gaussian or even generalized inverse Gaussian); and the modulated parameters (the diffuse signal power with or without the coherent signal component or the coherent signal power). This unifying point of view makes the comparison of the various models conceptually easier. In particular, we discuss the implications of the modulated parameters on the mean intensity and the signal-to-noise ratio of the intensity in the case of a vanishing diffuse signal. We conclude that the homodyned K-distribution is the only model among the literature for which the parameters have a physical meaning that is consistent with the limiting case, although the other distributions may fit real data. Copyright 2010 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20620691     DOI: 10.1016/j.ultrasmedbio.2010.04.001

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  24 in total

1.  A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging.

Authors:  Hsiang-Yang Ma; Zhuhuang Zhou; Shuicai Wu; Yung-Liang Wan; Po-Hsiang Tsui
Journal:  J Med Syst       Date:  2015-11-12       Impact factor: 4.460

2.  ESTIMATION METHOD OF THE HOMODYNED K-DISTRIBUTION BASED ON THE MEAN INTENSITY AND TWO LOG-MOMENTS.

Authors:  François Destrempes; Jonathan Porée; Guy Cloutier
Journal:  SIAM J Imaging Sci       Date:  2013-08-23       Impact factor: 2.867

3.  Quantification of Muscle Tissue Properties by Modeling the Statistics of Ultrasound Image Intensities Using a Mixture of Gamma Distributions in Children With and Without Cerebral Palsy.

Authors:  Siddhartha Sikdar; Guoqing Diao; Diego Turo; Christopher J Stanley; Abhinav Sharma; Amy Chambliss; Loretta Laughrey; April Aralar; Diane L Damiano
Journal:  J Ultrasound Med       Date:  2018-02-20       Impact factor: 2.153

4.  Three-dimensional high-frequency backscatter and envelope quantification of cancerous human lymph nodes.

Authors:  Jonathan Mamou; Alain Coron; Michael L Oelze; Emi Saegusa-Beecroft; Masaki Hata; Paul Lee; Junji Machi; Eugene Yanagihara; Pascal Laugier; Ernest J Feleppa
Journal:  Ultrasound Med Biol       Date:  2011-03       Impact factor: 2.998

5.  Local Burr distribution estimator for speckle statistics.

Authors:  Gary R Ge; Jannick P Rolland; Kevin J Parker
Journal:  Biomed Opt Express       Date:  2022-03-22       Impact factor: 3.562

6.  Burr, Lomax, Pareto, and Logistic Distributions from Ultrasound Speckle.

Authors:  Kevin J Parker; Sedigheh S Poul
Journal:  Ultrason Imaging       Date:  2020-06-02       Impact factor: 1.578

7.  Characterization of thyroid cancer in mouse models using high-frequency quantitative ultrasound techniques.

Authors:  Roberto J Lavarello; William R Ridgway; Sandhya S Sarwate; Michael L Oelze
Journal:  Ultrasound Med Biol       Date:  2013-09-11       Impact factor: 2.998

Review 8.  Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound.

Authors:  Michael L Oelze; Jonathan Mamou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-01-08       Impact factor: 2.725

9.  Hepatic steatosis assessment using ultrasound homodyned-K parametric imaging: the effects of estimators.

Authors:  Zhuhuang Zhou; Qiyu Zhang; Weiwei Wu; Ying-Hsiu Lin; Dar-In Tai; Jeng-Hwei Tseng; Yi-Ru Lin; Shuicai Wu; Po-Hsiang Tsui
Journal:  Quant Imaging Med Surg       Date:  2019-12

10.  A Feed-forward Neural Network Algorithm to Detect Thermal Lesions Induced by High Intensity Focused Ultrasound in Tissue.

Authors:  Parisa Rangraz; Hamid Behnam; Naser Shakhssalim; Jahan Tavakkoli
Journal:  J Med Signals Sens       Date:  2012-10
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