Modeling of the Cirrhotic Liver Considering the Liver Lobule Structure

Yamaguchi, Tadashi; Hachiya, Hiroyuki

doi:10.1143/jjap.38.3388

Cited by 38 publications

(30 citation statements)

References 3 publications

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“…Both approximated distribution functions yield K-L divergence values ranging between 0.07 and 0.12, with nearly the same value when the number density of scatterers is at least 10 sc/psf. This result is in agreement with the theory that states that scatterer structure and the echo pattern (speckle) become non-functional if scatterer density exceeds 10 sc/psf [21,25,35]. Figure 6 shows the values of the K-L divergence for the six heterogeneous scatterer models.…”

Section: Results Of Computer Simulationssupporting

confidence: 89%

Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis

Yamaguchi

Hachiya

2010

J Med Ultrasonics

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Section: Results Of Computer Simulationssupporting

confidence: 89%

Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis

Yamaguchi

Hachiya

2010

J Med Ultrasonics

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“…The features they used were built around the concept of attenuation. In [49], the authors proposed a liver phantom that was then used to study the modifications of speckle distribution in cirrhosis. They proposed a tissue model that consisted of a reticular structure with high scattering Normal distribtuion Uniform distribution Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Unsupervised quantification of the visual scores could be more effective in staging or tracking the fibrosis evolution because they quantify the ultrasound image alterations that are indirectly produced by fibrosis. Other authors have studied the properties of the reflected RF signal, properties such as attenuation [51], backscatter [52], or statistical properties [9,49,50,53]. The tissue phantom presented here can be applied to optimize these methods.…”

Section: Discussionmentioning

confidence: 99%

Usefulness of textural analysis as a tool for noninvasive liver fibrosis staging

Vicas

Lupşor²,

Badea³

et al. 2011

J Med Ultrasonics

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“…6 Because the two types of the Nakagami artifacts encourage the Nakagami parameter to approach unity, suppression of the Nakagami image artifacts is critical to prevent misinterpretation of image information by physicians and incorrect diagnoses. According to the previous studies, [35][36][37][38][39][40] liver fibrosis and breast mass were used as examples to illustrate the importance of the proposed method in clinical tissue characterization.…”

Section: The Importance Of the Proposed Methods In Scatterer Charactermentioning

confidence: 99%

Artifact Reduction of Ultrasound Nakagami Imaging by Combining Multifocus Image Reconstruction and the Noise-Assisted Correlation Algorithm

Tsui

Tsai

2014

Ultrason Imaging

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Several studies have investigated Nakagami imaging to complement the B-scan in tissue characterization. The noise-induced artifact and the parameter ambiguity effect can affect performance of Nakagami imaging in the detection of variations in scatterer concentration. This study combined multifocus image reconstruction and the noise-assisted correlation algorithm (NCA) into the algorithm of Nakagami imaging to suppress the artifacts. A single-element imaging system equipped with a 5 MHz transducer was used to perform the brightness/depth (B/D) scanning of agar phantoms with scatterer concentrations ranging from 2 to 32 scatterers/mm(3). Experiments were also carried out on a mass with some strong point reflectors in a breast phantom using a commercial scanner with a 7.5 MHz linear array transducer operated at multifocus mode. The multifocus radiofrequency (RF) signals after the NCA process were used for Nakagami imaging. In the experiments on agar phantoms, an increasing scatterer concentration from 2 to 32 scatterers/mm(3) led to backscattered statistics ranging from pre-Rayleigh to Rayleigh distributions, corresponding to the increase in the Nakagami parameter measured in the focal zone from 0.1 to 0.8. However, the artifacts in the far field resulted in the Nakagami parameters of various scatterer concentrations to be close to 1 (Rayleigh distribution), making Nakagami imaging difficult to characterize scatterers. In the same scatterer concentration range, multifocus Nakagami imaging with the NCA simultaneously suppressed two types of artifacts, making the Nakagami parameter increase from 0.1 to 0.8 in the focal zone and from 0.18 to 0.7 in the far field, respectively. In the breast phantom experiments, the backscattered statistics of the mass corresponded to a high degree of pre-Rayleigh distribution. The Nakagami parameter of the mass before and after artifact reduction was 0.7 and 0.37, respectively. The results demonstrated that the proposed method for artifact reduction allows a sensitive and effective scatterer characterization by Nakagami imaging.

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Modeling of the Cirrhotic Liver Considering the Liver Lobule Structure

Cited by 38 publications

References 3 publications

Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis

Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis

Usefulness of textural analysis as a tool for noninvasive liver fibrosis staging

Artifact Reduction of Ultrasound Nakagami Imaging by Combining Multifocus Image Reconstruction and the Noise-Assisted Correlation Algorithm

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