Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes

Bui, Thanh Minh; Coron, Alain; Mamou, Jonathan; Saegusa‐Beecroft, Emi; Yamaguchi, Tadashi; Yanagihara, Eugene; Machi, Junji; Bridal, S. Lori; Feleppa, Ernest J.

doi:10.7567/jjap.53.07kf22

Cited by 25 publications

(16 citation statements)

References 46 publications

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“…[8][9][10] For a quantitative evaluation of tissue characteristics using ultrasound B-mode images, it is effective to focus on the probability distribution properties of ultrasound echo envelope amplitude. [11][12][13][14][15][16][17] The probability density function (PDF) of echo envelope amplitude from a homogeneous tissue such as a normal liver tissue can be approximated by a Rayleigh (RA) distribution. 18,19) On the other hand, the PDF of echo envelope amplitude from an inhomogeneous tissue such as a fibrotic liver deviates from the RA distribution; therefore, the deviation of the PDF from the RA distribution was quantified.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation method for liver fibrosis based on multi-Rayleigh model with estimation of number of tissue components in ultrasound B-mode image

Mori

Hirata

Yamaguchi

et al. 2018

Jpn. J. Appl. Phys.

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The development of a quantitative diagnostic method for liver fibrosis using an ultrasound B-mode image is highly required. In our previous study, a multi-Rayleigh model was proposed to express a probability distribution of echo envelope amplitude from a fibrotic liver. Using the multi-Rayleigh model, a structure of fibrotic tissue can be quantitatively estimated. In this study, a method of estimating the number of tissue components was proposed to improve the accuracy of estimating a fibrotic tissue structure. Using threshold processing for a squared Mahalanobis distance of moments, which is a statistical property of echo envelope amplitude, the number of tissue components could be quantitatively estimated. The results of evaluation of clinical ultrasound B-mode images using the multi-Rayleigh model with estimation of the number of tissue components well reflected the tissue structural changes caused by liver fibrosis. It was concluded that our proposed method of estimating the number of tissue components improves the accuracy of liver fibrosis evaluation based on the multi-Rayleigh model.

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Section: Introductionmentioning

confidence: 99%

Quantitative evaluation method for liver fibrosis based on multi-Rayleigh model with estimation of number of tissue components in ultrasound B-mode image

Mori

Hirata

Yamaguchi

et al. 2018

Jpn. J. Appl. Phys.

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“…Recent studies in lymph nodes also showed that envelope-statistics models having limited physical meaning may actually fit the experimental data better [165]. …”

Section: Current Roadblocks To Widespread Use and Clinical Acceptmentioning

confidence: 99%

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

Oelze

Mamou

2016

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Conventional medical imaging technologies, including ultrasound, have continued to improve over the years. For example, in oncology, medical imaging is characterized by high sensitivity, i.e., the ability to detect anomalous tissue features, but the ability to classify these tissue features from images often lacks specificity. As a result, a large number of biopsies of tissues with suspicious image findings are performed each year with a vast majority of these biopsies resulting in a negative finding. To improve specificity of cancer imaging, quantitative imaging techniques can play an important role. Conventional ultrasound B-mode imaging is mainly qualitative in nature. However, quantitative ultrasound (QUS) imaging can provide specific numbers related to tissue features that can increase the specificity of image findings leading to improvements in diagnostic ultrasound. QUS imaging techniques can encompass a wide variety of techniques including spectral-based parameterization, elastography, shear wave imaging, flow estimation and envelope statistics. Currently, spectral-based parameterization and envelope statistics are not available on most conventional clinical ultrasound machines. However, in recent years QUS techniques involving spectral-based parameterization and envelope statistics have demonstrated success in many applications, providing additional diagnostic capabilities. Spectral-based techniques include the estimation of the backscatter coefficient, estimation of attenuation, and estimation of scatterer properties such as the correlation length associated with an effective scatterer diameter and the effective acoustic concentration of scatterers. Envelope statistics include the estimation of the number density of scatterers and quantification of coherent to incoherent signals produced from the tissue. Challenges for clinical application include correctly accounting for attenuation effects and transmission losses and implementation of QUS on clinical devices. Successful clinical and pre-clinical applications demonstrating the ability of QUS to improve medical diagnostics include characterization of the myocardium during the cardiac cycle, cancer detection, classification of solid tumors and lymph nodes, detection and quantification of fatty liver disease, and monitoring and assessment of therapy.

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“…1,13 The statistical approach based on the amplitude envelope of an ultrasonic echo signal is used for the in vivo characterization of soft tissues. The probability density function of the amplitude envelope can be modeled to segment soft tissues into different scatterer structures [14][15][16] and to classify benign and malignant tissues [17][18][19] owing to the statistical distribution parameters. The Nakagami (NA) distribution has been used in quantitative ultrasound techniques to address the different statistical distributions in envelope statistical analyses.…”

Section: Introductionmentioning

confidence: 99%

A study on understanding the physical mechanism of change in ultrasonic envelope statistical property during temperature elevation

Omura

Takeuchi²,

Nagaoka

et al. 2021

Medical Physics

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Purpose Our previous studies demonstrate that the variation in ultrasonic envelope statistics is correlated with the temperature change inside scattering media. This variation is identified as the change in the scatterer structure during thermal expansion or contraction. However, no specific evidence has been verified to date. This study numerically reproduces the change in the scatterer distribution during thermal expansion or contraction using finite element simulations and also investigates how the situation is altered by different material properties. Methods The material properties of a linear elastic solid depend on the thermal expansion coefficient, thermal conductivity, specific heat, and initial scatterer number density. Three‐dimensional displacements, calculated in the simulation, were sequentially used to update the positions of the randomly distributed scatterers. Ultrasound signals from the scatterer distribution were generated by simulating a 7.5‐MHz linear array transducer whose specifications were the same as those in the experimental measurements of several phantoms and excised porcine livers. To represent the change in the envelope statistical feature, the absolute value of the ratio change in the logarithmic Nakagami (NA) parameter, Δm, at each time was calculated as a value normalized with the initial NA parameter. Results The change in the scatterer number density relates to the volume change during temperature elevation. The magnitude of the Δm shift against the temperature change increases depending on the higher thermal expansion coefficient. In contrast, the relationship between Δm and the scatterer number density is similar with any material property. Additionally, the changes in Δm obtained by several experimental phantoms with low to high scatterer number densities are comparable with the numerical simulation results. Conclusions The change in Δm is indirectly related to the change in the scatterer number density owing to the volume change during thermal expansion or contraction.

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Modeling the envelope statistics of three-dimensional high-frequency ultrasound echo signals from dissected human lymph nodes

Cited by 25 publications

References 46 publications

Quantitative evaluation method for liver fibrosis based on multi-Rayleigh model with estimation of number of tissue components in ultrasound B-mode image

Quantitative evaluation method for liver fibrosis based on multi-Rayleigh model with estimation of number of tissue components in ultrasound B-mode image

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

A study on understanding the physical mechanism of change in ultrasonic envelope statistical property during temperature elevation

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