Improved robustness of multi-component analysis in amplitude envelope statistics using plane waves

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In previous studies, Double-Nakagami (DN) model, which is an amplitude envelope statistics method of quantitative ultrasound (QUS) was proposed for fatty liver evaluation, and the possibility of fatty property evaluation was suggested from the studies using a single concave transducer and rat livers. In this paper, five high-frequency linear array probes were used to investigate for clinical application. After confirmation of the influence of the sound field characteristics of the system and transmission/reception conditions on evaluation accuracy, QUS parameters were evaluated with DN model and other basic statistical models on fatty liver mimicking phantoms and rat livers. Correlations between fat gain and multiple QUS parameters were confirmed, suggesting that the combination of high-frequency linear array probes and a DN model may be a highly robust method for quantifying fatty liver.

Section: Tissue-mimicking Phantoms With Multiple Types Of Scatterersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relationship between transmission/reception conditions of high-frequency plane wave compounding and evaluation accuracy of extended amplitude envelope statistics

Higa,

Ketterling,

Mamou

et al. 2024

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“…These parameters were set to conditions similar to those of the lineararray probe used in the phantom experiment. Ujihara et al 42) reported that the use of compound imaging with plane wave transmission was effective for envelope statistical analysis because the depth dependence of the acoustic field could be suppressed compared with the use of a focused beam. Therefore, we used the compound imaging by plane wave with transmission angles from - 10 to  10 at  2 intervals.…”

Section: Ultrasonic Simulationmentioning

confidence: 99%

Appropriate indicator of modeling error for threshold-based model selection in statistics-based ultrasound tissue characterization

Mori,

Arakawa,

Yamaguchi

et al. 2024

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Analysis of the envelope statistics of ultrasound echo signals contributes to quantitative tissue characterization in medical ultrasound. Many probability distribution model functions have been studied, and the model function that should be used for tissue characterization depends on the type of disease, even in the same organ. Thus, an appropriate model selection is important for an accurate diagnosis. In this study, we aimed to select a model using threshold processing for modeling errors instead of a simple selection by minimizing the modeling error. For this purpose, we compared several indicators of modeling errors using random number simulations, ultrasonic simulation, and phantom experiment. The results validated that the Mahalanobis distance of moments is an appropriate indicator because it enables the use of a constant threshold value, regardless of the type of model function and data length.

“…Quantitative ultrasound (QUS) is useful for the noninvasive evaluation of diseases of various biological tissues, such as the liver, breast, lymph nodes, skin, and bone. In particular, amplitude envelope statistics, [1][2][3][4][5][6] attenuation coefficients, [7][8][9] backscatter coefficients (BSCs), [10][11][12][13][14] and elastography [15][16][17][18][19][20] have attracted attention in clinical practice, and tools for evaluating QUS parameters that were developed using these techniques have been implemented in clinical ultrasound systems.…”

Section: Introductionmentioning

confidence: 99%

Verification of effect of interference between multiple scatterers on the evaluation of backscattering coefficient

Kutsuzawa,

Hirata,

Yoshida

et al. 2024

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Backscattering coefficient (BSC) analysis methods for biological tissues have been clinically applied, but they are based on the theory of a homogeneous scattering medium. In this paper, the effect of spatial correlation of waves between scatterers on the backscattering properties of inhomogeneous mediums containing two types of scattering sources with different acoustic properties was investigated. In the echo data of a phantoms containing two types of scatterers acquired by multiple sensors, the power and frequency dependence of the BSC were different from theoretical calculations due to the interference effects of each scatterer. The effect of interference between the two types of scatterers was confirmed to be particularly strong for echoes acquired by the sensor at high intensity and high frequency, or for higher number densities of strong scatterers.