Verification of the influence of liver microstructure on the evaluation of shear wave velocity

Ito, Daiki; Oguri, Tetsuya; Kamiyama, Naohisa; Hirata, Shinnosuke; Yoshida, Kenji; Yamaguchi, Tadashi

doi:10.35848/1347-4065/abf59a

Cited by 18 publications

(25 citation statements)

References 43 publications

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“…Ito et al performed a two-dimensional shear wave propagation simulation based on a model simulating the microstructure of fibrous tissue and fat droplets. Their results suggested that wavefront discontinuity of shear waves may be related to the presence of minute fat droplets and affect the SWS [ 84 ].…”

Section: Factors Potentially Affecting Swe Measurementsmentioning

confidence: 99%

A review of physical and engineering factors potentially affecting shear wave elastography

et al. 2021

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It has been recognized that tissue stiffness provides useful diagnostic information, as with palpation as a screening for diseases such as cancer. In recent years, shear wave elastography (SWE), a technique for evaluating and imaging tissue elasticity quantitatively and objectively in diagnostic imaging, has been put into practical use, and the amount of clinical knowledge about SWE has increased. In addition, some guidelines and review papers regarding technology and clinical applications have been published, and the status as a diagnostic technology is in the process of being established. However, there are still unclear points about the interpretation of shear wave speed (SWS) and converted elastic modulus in SWE. To clarify these, it is important to investigate the factors that affect the SWS and elastic modulus. Therefore, physical and engineering factors that potentially affect the SWS and elastic modulus are discussed in this review paper, based on the principles of SWE and a literature review. The physical factors include the propagation properties of shear waves, mechanical properties (viscoelasticity, nonlinearity, and anisotropy), and size and shape of target tissues. The engineering factors include the region of interest depth and signal processing. The aim of this review paper is not to provide an answer to the interpretation of SWS. It is to provide information for readers to formulate and verify the hypothesis for the interpretation. Therefore, methods to verify the hypothesis for the interpretation are also reviewed. Finally, studies on the safety of SWE are discussed.

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Section: Factors Potentially Affecting Swe Measurementsmentioning

confidence: 99%

A review of physical and engineering factors potentially affecting shear wave elastography

et al. 2021

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“…2(b), the position and time of the peak of the shear wave were tracked along the direction perpendicular to the propagation direction of the push pulse. Finally, the SWS was measured using the time of flight (TOF) method, 31,32) which calculates the proportionality coefficient between the travel time and travel distance, as shown in Fig. 2(c).…”

Section: Sws Measurementmentioning

confidence: 99%

Basic investigation on identification of tissue composition based on propagation speeds of longitudinal and shear waves

Nitta

Washio

Numano

2022

Jpn. J. Appl. Phys.

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The elastic modulus of tissue as a useful biomarker of disease detection can be quantitatively evaluated based on shear wave speed (SWS) measurements in shear wave elastography. Although the longitudinal wave speed (LWS) is also expected to be a promising biomarker for disease detection, the elasticity is not always dominant because the LWS is affected by the bulk modulus. In other words, LWS and SWS may reflect different tissue properties. Therefore, in this study, based on the improvement in LWS measurement, the relationship between the composition of a phantom mixed with agar and glycerol and ultrasonically measured LWS and SWS was investigated. The LWS had a good sensitivity in detecting glycerol, while the SWS had a good sensitivity in detecting agar. The calculated Poisson's ratio had a better sensitivity in detecting agar. In conclusion, a simultaneous measurement of LWS and SWS may help identify the tissue composition.

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“…We have developed a method for analyzing moving sound sources and receivers using the finite difference-time domain (FDTD) method. [6][7][8][9][10][11][12][13][14][15][16] We have previously implemented moving sound sources and receivers with omni-directional directivity in the two-dimensional (2D) 17,18) and threedimensional FDTD methods. 19) Furthermore, we have implemented movings sound sources and receiver with simple directivity, such as dipole and cardioid, in two-dimensions 20) and three-dimensions.…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional finite difference-time domain simulation of moving multipole sources

Tsuchiya

2024

Jpn. J. Appl. Phys.

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In this paper, the implementation of a moving multipole sound source in the two-dimensional finite difference-time domain method is described. The fundamental solution of the moving multipole source is theoretically derived by spatial differentiation of the fundamental solution of a moving monopole source in the two-dimensional field. It was found theoretically that the directivity of a moving multipole source depends on the velocity and order of spatial differentiation. Numerical experiments were performed on the two-dimensional sound field for moving multipole sources, and the results showed that the effect of the moving velocity on the amplitude of the multipole source is increased with the order of spatial differentiation. It was also found that the higher the order of spatial differentiation, the sharper the directivity in the moving direction and the larger the front-to-back ratio of the directivity. The present method can be accurately applied to the moving multipole sound sources.

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Verification of the influence of liver microstructure on the evaluation of shear wave velocity

Cited by 18 publications

References 43 publications

A review of physical and engineering factors potentially affecting shear wave elastography

A review of physical and engineering factors potentially affecting shear wave elastography

Basic investigation on identification of tissue composition based on propagation speeds of longitudinal and shear waves

Two-dimensional finite difference-time domain simulation of moving multipole sources

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