Ultrasound temperature estimation based on probability variation of backscatter data

Tsui, Po-Hsiang; Shu, Yu-Chen; Chen, Wen-Shiang; Liu, Hao Li; Hsiao, Ing‐Tsung; Chien, Yu Wen

doi:10.1118/1.3700235

Cited by 45 publications

(56 citation statements)

References 58 publications

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“…It is widely applied for tissue characterization as one of the quantitative ultrasound methods. For instance, it was used for breast lesions classification [2], liver diagnosis [3] and temperature monitoring [4].…”

Section: Introductionmentioning

confidence: 99%

Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation

Byra

Nowicki

Piotrzkowska-Wróblewska

et al. 2015

2015 IEEE International Ultrasonics Symposium (IUS)

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Nakagami distribution is used to model the statistical properties of backscattered echoes in tissue. The proper estimate requires the compensation of attenuation along each scanning line. Attenuation of the wave results in decreasing of the envelope mean intensity with depth what modifies the Nakagami scale parameter. This phenomenon violates the assumption that envelope samples within region of interest are identically distributed and disrupts estimation. Here, we investigate the influence of wave attenuation on Nakagami shape parameter estimators for various scattering scenarios, attenuation coefficients and region of interest size. Three methods are proposed to solve this issue. Scans of a thyroid and of a breast lesion are analyzed. It was found that proposed methods improved the estimation, especially when larger regions were used to collect envelope samples.

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Section: Introductionmentioning

confidence: 99%

Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation

Byra

Nowicki

Piotrzkowska-Wróblewska

et al. 2015

2015 IEEE International Ultrasonics Symposium (IUS)

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“…Moreover, the Nakagami distribution has been demonstrated to be a general model for all of the distribution conditions of ultrasound backscattering, including pre-Rayleigh, Rayleigh, and postRayleigh distributions. Therefore, the probability distribution of the backscatter data may be better described by the Nakagami model than by other statistical models to improve the sensitivity to detecting variations in the backscatter statistics [21]. Furthermore, the Nakagami image has a good ability to visualize local statistical properties of the liver.…”

Section: Discussionmentioning

confidence: 99%

“…Nakagami imaging produces reliable images to reflect backscattered statistics [19,20,21,22]. The Nakagami parameter is a shape parameter of the Nakagami statistical distribution, as given by [23] …”

Section: Backscattered Statistics Analysismentioning

confidence: 99%

Relationship Between Ultrasound Backscattered Statistics and the Concentration of Fatty Droplets in Livers: An Animal Study

Lee

Jeng

et al. 2013

Ultrasound in Medicine & Biology

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Ultrasound grayscale B-mode imaging is the most frequently used modality for examining fatty liver. Different concentrations and arrangements of fatty droplets in the liver may produce different statistical distributions of ultrasound backscatter signals, which may be treated as a useful clue for assessing the stage of fatty liver. To verify this point, we investigate the relationship between changes in backscattered statistics and the concentration of fatty droplets in the liver. Fatty liver was induced in rats fed a methionine-choline-deficient diet. Livers were excised from rats for in vitro ultrasound scanning using a single-element transducer. The envelopes of the acquired raw ultrasound signals were used for the analysis of the backscattered statistics by ultrasound Nakagami parametric imaging, which has been shown as a reliable tool to model the statistical distribution of ultrasound backscatter signals. Histological analyses and the measurements of triglyceride and cholesterol in the rat liver were conducted for comparison with the Nakagami parameter. Results show that the ultrasound Nakagami parameter has an excellent correlation with the concentration of fatty droplets, demonstrating that ultrasound backscatter statistics depend on the degree of fatty liver in rats.

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“…Here, we calculate the CBE in dB scale for the initial, "normal", temperature T 0 and, after heating, at temperature T . The backscattered echoes' amplitudes were squared (value proportional to echoes intensity) and CBE for each pixel (i, j), where i is a sample number and j is an image line, has been calculated as follows (Tsui et al, 2012):…”

Section: Thermal Changes In Backscattered Energymentioning

confidence: 99%

Ultrasonic Measurement of Temperature Rise in Breast Cyst and in Neighbouring Tissues as a Method of Tissue Differentiation

Gambin

Byra

Kruglenko

et al. 2016

Archives of Acoustics

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Texture of ultrasound images contain information about the properties of examined tissues. The analysis of statistical properties of backscattered ultrasonic echoes has been recently successfully applied to differentiate healthy breast tissue from the benign and malignant lesions. We propose a novel procedure of tissue characterization based on acquiring backscattered echoes from the heated breast. We have proved that the temperature increase inside the breast modifies the intensity, spectrum of the backscattered signals and the probability density function of envelope samples. We discuss the differences in probability density functions in two types of tissue regions, e.g. cysts and the surrounding glandular tissue regions. Independently, Pennes bioheat equation in heterogeneous breast tissue was used to describe the heating process. We applied the finite element method to solve this equation. Results have been compared with the ultrasonic predictions of the temperature distribution. The results confirm the possibility of distinguishing the differences in thermal and acoustical properties of breast cyst and surrounding glandular tissues.

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Ultrasound temperature estimation based on probability variation of backscatter data

Abstract: This study has demonstrated that temperature changes are reflected in variations in the envelope statistics. This novel approach makes it possible to develop an ultrasound temperature imaging method for simultaneously estimating the thermal dose and the tissue properties.

Cited by 45 publications

References 58 publications

Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation

Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation

Relationship Between Ultrasound Backscattered Statistics and the Concentration of Fatty Droplets in Livers: An Animal Study

Ultrasonic Measurement of Temperature Rise in Breast Cyst and in Neighbouring Tissues as a Method of Tissue Differentiation

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