Literature DB >> 27285150

Quantitative processed images acquired by histogram-SNR imaging used to evaluate parenchymal heterogeneity in the liver.

Yasutomo Fujii1, Nobuyuki Taniguchi1, Kouichi Itoh1, Yi Wang1, Kouichiro Shigeta1, Tomoko Ono1, Jing-Wen Tsao2, Kenji Kumasaki2, Takashi Itoh2.   

Abstract

PURPOSE: To evaluate a new system for displaying processed images of liver parenchyma based on quantitative estimation of heterogeneity by texture analysis.
METHODS: We measured the signal to noise ratio, one of the first-order statistics in the histogram of enveloped amplitude of radio-frequency backscattered echoes, using a 3.75-MHz transducer with texture analysis in conjunction with a new method in which the small ROI (region of interest) is segmented into multiple layers to minimize the influence of tissue attenuation and beam diffraction. In our computerized system, gray-display and color-display images, two types of processed images, were produced from the visual intensity of each small ROI, which was based on its signal to noise ratio. We studied 10 cases of normal liver, 10 cases of fatty liver, and 10 cases of cirrhotic liver. The processed images obtained from these livers were reviewed to observe their features and to compare their usefulness in estimating the heterogeneity of the liver parenchyma with that of conventional B-mode images.
RESULTS: Gray-display images of cirrhotic livers appeared much blacker than the images produced from other disorders, and color-display images of cirrhotic liver appeared much bluer or greener than the others. Rate of correct diagnosis from B-mode images was 68.3 ±6.8%; from gray-display images, 85.8±7.4%; and from color-display images, 91.7±8.2%. Rate of correct assessment from B-mode images and gray-display images was significantly correlated (p=0.0015), as was rate of correct assessment from the B-mode images and the color-display images (p=0.0060).
CONCLUSION: The processed images obtained using this computerized system contributed to the correct and objective interpretation of the heterogeneity of the liver parenchyma.

Entities:  

Keywords:  liver; signal to noise ratio; texture analysis; tissue characterization; ultrasound

Year:  2003        PMID: 27285150     DOI: 10.1007/BF02485165

Source DB:  PubMed          Journal:  J Med Ultrason (2001)        ISSN: 1346-4523            Impact factor:   1.314


  12 in total

1.  A general statistical model for ultrasonic backscattering from tissues.

Authors:  P Mohana Shankar
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2000       Impact factor: 2.725

2.  Texture in tissue echograms. Speckle or information?

Authors:  J M Thijssen; B J Oosterveld
Journal:  J Ultrasound Med       Date:  1990-04       Impact factor: 2.153

3.  Speckle analysis using signal to noise ratios based on fractional order moments.

Authors:  V Dutt; J F Greenleaf
Journal:  Ultrason Imaging       Date:  1995-10       Impact factor: 1.578

4.  Deviations from Rayleigh statistics in ultrasonic speckle.

Authors:  T A Tuthill; R H Sperry; K J Parker
Journal:  Ultrason Imaging       Date:  1988-04       Impact factor: 1.578

5.  Quantitative ultrasonic analysis of liver metastases.

Authors:  H J Huisman; J M Thijssen; D J Wagener; G J Rosenbusch
Journal:  Ultrasound Med Biol       Date:  1998-01       Impact factor: 2.998

6.  Studies on frequency-dependent attenuation in the normal liver and spleen and in liver diseases, using the spectral-shift zero-crossing method.

Authors:  K Itoh; Y Yasuda; O Suzuki; H Itoh; T Itoh; J W Tsao; T Konishi; A Koyano
Journal:  J Clin Ultrasound       Date:  1988-10       Impact factor: 0.910

7.  Texture of B-mode echograms: 3-D simulations and experiments of the effects of diffraction and scatterer density.

Authors:  B J Oosterveld; J M Thijssen; W A Verhoef
Journal:  Ultrason Imaging       Date:  1985-04       Impact factor: 1.578

8.  Non-Rayleigh first-order statistics of ultrasonic backscatter from normal myocardium.

Authors:  L Clifford; P Fitzgerald; D James
Journal:  Ultrasound Med Biol       Date:  1993       Impact factor: 2.998

9.  Acoustic properties of normal and cancerous human liver-II. Dependence of tissue structure.

Authors:  J C Bamber; C R Hill; J A King
Journal:  Ultrasound Med Biol       Date:  1981       Impact factor: 2.998

10.  Quantitative estimation of liver attenuation and echogenicity: normal state versus diffuse liver disease.

Authors:  B S Garra; M F Insana; T H Shawker; M A Russell
Journal:  Radiology       Date:  1987-01       Impact factor: 11.105

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  1 in total

1.  Comparison of ultrasound colored image views produced by application of statistical analysis of radio-frequency signals and histological findings in patients with chronic hepatitis C.

Authors:  Sanae Nakajima; Kazutoshi Shibuya; Naohisa Kamiyama; Yasukiyo Sumino
Journal:  J Med Ultrason (2001)       Date:  2009-12-11       Impact factor: 1.314

  1 in total

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