Three-Dimensional Model of the Scatterer Distribution in Cirrhotic Liver

Yamaguchi, Tadashi; Nakamura, Keigo; Hachiya, Hiroyuki

doi:10.1143/jjap.42.3292

Cited by 31 publications

(31 citation statements)

References 10 publications

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“…11) We referred to the potential distribution model as the initial part to simulate tissue structure changes. In this model, scatterers are distributed densely on the local minimum region of the monomodal potential function as expressed by eq.…”

Section: Modeling Of Tissue Structure Changesmentioning

confidence: 99%

“…The parameter p max of all the potentials is randomly set to a value from 0.8 to 1.2 as an initial condition and k is set to 0:02 þ 0:002 p max as experimentally estimated values as discussed in ref. 11. To simulate the process by which liver tissue changes from lobules to nodules, the randomly selected central point, r m , conjugates with its nearest central point, r n , generating a new central point, r 0 m , and a new potential, p max ðr 0 m Þ, as follows:…”

Section: Modeling Of Tissue Structure Changesmentioning

confidence: 99%

“…8,9) Yamaguchi and coworkers [10][11][12] have recently proposed a method of evaluating the stage of fibrosis using the deviation of echo amplitude distribution from the Rayleigh distribution of a normal liver.…”

Section: Introductionmentioning

confidence: 99%

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Mechanical Model Analysis for Quantitative Evaluation of Liver Fibrosis Based on Ultrasound Tissue Elasticity Imaging

Shiina¹,

Maki²,

Yamakawa³

et al. 2012

Jpn. J. Appl. Phys.

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Precise evaluation of the stage of chronic hepatitis C with respect to fibrosis has become an important issue to prevent the occurrence of cirrhosis and to initiate appropriate therapeutic intervention such as viral eradication using interferon. Ultrasound tissue elasticity imaging, i.e., elastography can visualize tissue hardness/softness, and its clinical usefulness has been studied to detect and evaluate tumors. We have recently reported that the texture of elasticity image changes as fibrosis progresses. To evaluate fibrosis progression quantitatively on the basis of ultrasound tissue elasticity imaging, we introduced a mechanical model of fibrosis progression and simulated the process by which hepatic fibrosis affects elasticity images and compared the results with those clinical data analysis. As a result, it was confirmed that even in diffuse diseases like chronic hepatitis, the patterns of elasticity images are related to fibrous structural changes caused by hepatic disease and can be used to derive features for quantitative evaluation of fibrosis stage.

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Section: Modeling Of Tissue Structure Changesmentioning

confidence: 99%

Section: Modeling Of Tissue Structure Changesmentioning

confidence: 99%

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Mechanical Model Analysis for Quantitative Evaluation of Liver Fibrosis Based on Ultrasound Tissue Elasticity Imaging

Shiina¹,

Maki²,

Yamakawa³

et al. 2012

Jpn. J. Appl. Phys.

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“…It is well-known that the echo signals from the homogeneous medium which includes many of small scatterers such as normal liver generate the reflected noise named "speckle", and probability density distribution of echo envelopes from the speckle part (from normal liver tissue) was statistically approximated to Rayleigh distribution [14][15][16][17][18][19] (Fig. 1).…”

Section: Basics Of Fsetmentioning

confidence: 99%

The Ultrasonic Three-Dimensional Filter for the Quantitative Diagnosis of Liver Fibrosis

Yamaguchi

Hachiya

2009

J. Mech. Med. Biol.

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At present, percutaneous liver biopsy is the gold standard in assessing liver fibrosis such as hepatitis and cirrhosis, but there could be sampling error, and specimens might not represent the state of the whole liver accurately because only about 0.002% of the organ is sampled. In this research, we propose the three-dimensional fiber structure extraction echo filter to realize a quantitative ultrasonic diagnosis. The filter is designed based on a statistical theory, and it is possible to reduce the noise contained in a back scattered ultrasonic echo signal, and to visualize the structure of a fiber.

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“…The previous research result shows that FSET also works effectively in such a case. [16][17][18][19] A multiplex ingredient decreases and the thrombi are extracted by FSET in Fig. 8(b).…”

Section: Extraction Of Thrombus Informationmentioning

confidence: 99%

Measurement of Thrombus Flux Using Transesophageal Echocardiography

Yamaguchi

Hirai

Aoki

et al. 2006

jjap

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Deep venous thrombosis (DVT) and pulmonary thromboembolism (PTE) are serious problem of total knee replacement (TKR). These diseases may be caused by a thrombus formed during the TKR operation. Therefore, understanding the flow volume of thrombus is important for curing and preventing PTE. In this paper, we tried to understanding the situation of the flow of thrombus by using transesophageal echocardiography movies. We applied the signal processing technique the FSET to extract the anomalous information from ultrasonic echo image. As a result of processing, the time change of the flow volume of thrombus was confirmed.

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Three-Dimensional Model of the Scatterer Distribution in Cirrhotic Liver

Cited by 31 publications

References 10 publications

Mechanical Model Analysis for Quantitative Evaluation of Liver Fibrosis Based on Ultrasound Tissue Elasticity Imaging

Mechanical Model Analysis for Quantitative Evaluation of Liver Fibrosis Based on Ultrasound Tissue Elasticity Imaging

The Ultrasonic Three-Dimensional Filter for the Quantitative Diagnosis of Liver Fibrosis

Measurement of Thrombus Flux Using Transesophageal Echocardiography

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