An in vivo ultrasonic model of liver parenchyma

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 45, Issue 3, 1998, Pages 739-750

  Huisman, Henkjan J ^a   Thijssen, Johan M ^b  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^b Academic Children's Center   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC WAVE BACKSCATTERING; ATTENUATION; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; TISSUE;

INHOMOGENEOUS PARENCHYMA BACKGROUND (IPB); STANDARD DEVIATIONS; ULTRASONIC TISSUE CHARACTERIZATION (UTC);

ULTRASONIC IMAGING;

EID: 0032071916     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/58.677618     Document Type: Article

References (27)

1. U. Raeth. D. Schlaps, B. Limbcrg, I. Zima. A. Lorenz, G. van Kaick. W. .]. Lorenz. and B. Koinmerell, Diagnostic accuracy of computerized B-scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease, J. Clin. Ultrasound, vol. 13, pp. 87 99. 1985.
2. B. S. Garra, M. F. Insana, T. H. Shawker. and M. A. Russell, Quantitative estimation of liver attenuation and ecbogenicity: normal state versus diffuse liver disease. Radiology, vol. 162, pp. 61-67, 1987.
3. K. J. Parker. M. S. Asztely, R. M. Lerner. E. A. Schenk, and R. C. Waag. In vivo measurements of ultrasound attenuation in normal or diseased liver. Ultrasound Med. Biol., vol. 14, no. 2, pp. 127-136, 1988.
4. B. S. Garra, M. F. Insana, T. H. Shawker, R. F. Wagner, M. Bradford, and M. Rüssels, Quantitative ultrasonic detection and classification of diffuse liver disease-comparison with human observer performance,'1 Inv. Radial., vol. 24. pp. 196-203, 1989.
5. B. ,1. Oosterveld, J. M. Thijssen, P. C. Hartman, R. L. Rornijn, and G. .). E. Rosenbusch, Ultrasound attenuation and texture analysis of diffuse liver disease: methods and preliminary results,'' Phys. Med. Dial, vol. 36, pp. 1039 1064, 1991.
6. D. L. King, F. L. Lizzi, E. J. Feleppa, P. M. Wai. M. M. Yaremko, M. C. Rorke, and .1. Herbs!:. Focal arid diffuse liver disease studied by quantitative iriitTost.rurt.iiral sonography, Radiology, vol. 155. pp. 457-462, 1985.
7. M. O'Donnell and H. F. Reilly, Jr.. Clinical evaluation of the B'-scan. IEEE Trans. Sonics Ultrason., vol. 32, no. 3, pp. 450457, 1985.
8. H. J. Huisman, J. M. Thijssen. D. J. T. Wagencr, and G. J. E. Rosenbusch, Quantitative ultrasonic analysis of liver métastases, Ultrason. Med. Biol., vol. 24. no. 1, pp. 67-77. 1998.
9. H. J. Huisman and J. M. Thijssen, Precision and accuracy of acousto-spectrographic parameters, Ultrason. Med. Biol., vol 22, no. 7, pp. 855-871, 1996.
10. C. B. Bnrckhardt. Speckle in ultrasound B-mode scans, IEEE Trans. Sonics Ultrason, vol. 25, no. 1, pp. 1-6. 1978.
11. A. Papoulis, Signal Analysis. Singapore: McGraw-Hill. 1977.
12. A. P. Berkhoff,'H. ,1. Huismari, J. M. Thijssen, E. M. P. G. Jacobs, and R. J. F. Homan. Fast scan conversion algorithms for displaying ultrasound sector images, Ultrason. Imaging, vol. 16, pp. 87 108, 1994.
13. R. F. Wagner, S. W. Smith, J. M. Sandrik, and H. Lopez, Statistics of speckle in ultrasound B-scans.:' IEEE Trans. Sonics Ultrason., vol. 30, no. 3, pp. 156-163, 1983.
14. B. J. Oosterveld, J. M. Thijssen, and W. A. Verhoef, Texture of B-mode echograms: 3D simulations and experiments of the effect of diffraction and scatterer density, Ultrason. Imaging. vol. 7, pp. 142-160, 1985.
15. R. L. Romijn. J. M. Thijssen. and G. W. J. Beuningen. Estimation of scatterer size from backscattered ultrasound: a simulation study. IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 36, no. 6, pp. 593-606, 1989.
16. A. Papoulis, Probability, Random Variables, and Stochastic Processes. Singapore: McGraw-Hill. 1991.
17. R. C. Gonzalez and I. Wintz. Digital Image Processing. Reading, MA: Addison-Wcsley, 1987.
18. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing. Englewood Gliffs, N.I: Prentice-Hall 1975.
19. A. Grace. Optimizatior. Toolbox User's Guide for Use with MATLAB. Natick, MA: Mathworks, 1992.
20. .]. T. M. Verhoeven and J. M. Thijssen, Improvement of lesion detection by echographic image processing: signal-to-noise-ratio imaging, Ultrason. Imaging, vol. 13, pp. 238-251, 1991.
21. V. Dutt a.nd J. F. Greenleaf, Speckle analysis using signal to noise ratios based on fractional order moments, Ultrason. Imaging, vol. 17, pp. 251-268, 1995.
22. M. F. Insana, R. F. Wagner, B. S. Garra, D. G. Brown, and T. H. Shawker, Analysis of ultrasound image texture via generalized Rician statistics, Opt. Eng., vol. 25, no. 6, pp. 743-748. 1986.
23. M. Lafortune. F. Madore, H. Patriquin, and G. Breton, Segmentai anatomy of the liver: a sonographic approach to the Couinaud nomenclature,1' Radiology, vol. 181, pp. 443-448, 1991.
24. G. Rettenmaier. Fokale leberverändernng, in Sonograplnsche Diffe.rentialdiagnostik, G. Rettenmaier and K. Scitz, Eds. Weinheim. Germany: VCH Publishers, 1990, pp. 79 162.
25. M. Kancmatsu, H. Hoshi, T. Imaeda. Y. Yarnawaki, S. Mizuno, M. Enya, and R. Yokoyama, Nonpathological focal enhancements on spiral CT hepatic angiography, Abdominal Imaging, vol. 22, pp. 55 59, 1997.
26. M. Kadoya, O. Matsui, K. Kitagawa. Y. Kawamore, J. Yoshikawa. T. Gabata. S. Miyayarna, and T. Takashirna, Segmentai iron deposition in the liver due to decreased intrahepatic portal perfusion: findings at MR imaging, Radiology, vol. 193. pp. 671 676. 1994.
27. J. W. Goodman, Statistical Properties of Laser Speckle Patterns. Berlin: Springer-Verlag. 1975. pp. 9-75.