B-mode ultrasound with algorithm based on statistical analysis of signals: Evaluation of liver fibrosis in patients with chronic hepatitis C

American Journal of Roentgenology

Volumn 193, Issue 4, 2009, Pages 1037-1043

  Toyoda, Hidenori ^a   Kumada, Takashi ^a   Kamiyama, Naohisa ^b   Shiraki, Katsuya ^c   Takase, Kojiro ^d   Yamaguchi, Tadashi ^e   Hachiya, Hiroyuki ^f  

^a OGAKI MUNICIPAL HOSPITAL   (Japan)

^b TOSHIBA MEDICAL SYSTEMS CORPORATION   (Japan)

^c MIE UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^d Shutaikai Hospital   (Japan)

^e CHIBA UNIVERSITY   (Japan)

^f TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Algorithm; B mode ultrasound; Chronic hepatitis C; Liver fibrosis

Indexed keywords

ADULT; AGED; ARTICLE; B SCAN; CHI SQUARE DISTRIBUTION; CHI SQUARE TEST; CONTROLLED STUDY; COURSE EVALUATION; DIAGNOSTIC VALUE; DISEASE SEVERITY; FEMALE; HEPATITIS C; HISTOGRAM; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; LEARNING ALGORITHM; LIVER FIBROSIS; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SIGNAL DETECTION; TISSUE STRUCTURE;

ADULT; AGED; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; FEMALE; HEPATITIS C, CHRONIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER CIRRHOSIS; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 70349687298     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/AJR.07.4047     Document Type: Article

References (21)

1. Burckhardt CB. Speckle in ultrasound B-mode scans. IEEE Trans Sonics Ultrason 1978; 25:1-6
2. Wargner RF, Smith SW, Sandrik JM, Lopez H. Statistics of speckle in ultrasound B-scans. IEEE Trans Sonics Ultrason 1983; 30:156-163 (Pubitemid 13560375)
3. Tuthill TA, Sperry RH, Parker KJ. Deviations from Rayleigh statistics in ultrasonic speckles. Ultrason Imaging 1988; 10:81-89
4. Mohana Shankar P. A general statistical model for ultrasonic backscattering from tissue. IEEE Trans Ultrason Ferroelectr Freq Control 2000; 47:727-736 (Pubitemid 30870878)
5. Fujii Y, Taniguchi N, Wang Y. Clinical application of a new method that segments the region of interest into multiple layers for RF amplitude histogram analysis in the cirrhotic liver [in Japanese]. J Med Ultrason 2001; 28:25-33 (Pubitemid 32367564)
6. Valckx FMJ, Thijssen JM. Characterization of echographic image texture by cooccurrence matrix parameter. Ultrasound Med Biol 1997; 23:559-571
7. Bleck JS, Ranft U, Gebel M, et al. Random field models in the textural analysis of ultrasound images of the liver. IEEE Trans Med Imaging 1996; 15:796-801 (Pubitemid 126773981)
8. Cramblitt RM, Parker KJ. Generation of non-Rayleigh speckle distribution using marked regularity models. IEEE Trans Ultrason Ferroelectr Freq Control 1999; 46:867-874
9. Oelze ML, Zachary JF, O'Brien WD Jr. Characterization of tissue microstructure using ultrasonic backscatter: theory and technique for optimization using a Gaussian form factor. J Acoust Soc Am 2002; 112:1002-1011
10. Kikuchi T, Nakazawa T, Furukawa T, Higuchi T, Maruyama Y, Sato S. Quantitative estimation of the amount of fibrosis in the rat liver using fractal dimension of the shape of power spectrum. Jpn J Appl Phys 1995; 34:2831-2834
11. Shankar PM. Ultrasonic tissue characterization using a generalized Nakagami model. IEEE Trans Ultrason Ferroelectr Freq Control 2001; 48:1716-1720
12. Yamaguchi T, Hachiya H, Kamiyama N, Ikeda K, Moriyasu F. Estimation of characteristics of echo envelope using RF echo signal from the liver. Jpn J Appl Phys 2001; 40:3900-3904
13. Yamaguchi T, Hachiya H, Kamiyama N, Moriyasu F. Examination of the spatial correlation of statistics information in the ultrasonic echo from diseased liver. Jpn J Appl Phys 2002; 41:3585-3589 (Pubitemid 34830147)
14. Yamada H, Ebara M, Yamaguchi T, et al. A pilot approach for quantitative assessment of liver fibrosis using ultrasound: preliminary results in 79 cases. J Hepatol 2006; 44:68-75 (Pubitemid 41772518)
15. Desmet VJ, Gerber M, Hoofnagle JH, Manns M, Scheuer PJ. Classification of chronic hepatitis: diagnosis, grading and staging. Hepatology 1994; 19:1513-1520 (Pubitemid 24166476)
16. Sandrin L, Fourquest B, Hasquenoph JM, et al. Transient elastography: a noninvasive method for assessment of hepatic fibrosis. Ultrasound Med Biol 2003; 29:1705-1713 (Pubitemid 38091720)
17. Chen S, Fatemi M, Greenleaf JF. Quantifying elasticity and viscosity from measurement of shear wave speed dispersion. J Acoust Soc Am 2004; 115:2781-2785 (Pubitemid 38781209)
18. Bercoff J, Tanter M, Fink M. Supersonic shear imaging: a new technique for soft tissue elasticity mapping. IEEE Trans Ultrason Ferroelectr Freq Control 2004; 51:396-409
19. Palmeri ML, Wang MH, Dahl JJ, Frinkley KD, Nightingale KR. Quantifying hepatic shear modulus in vivo using acoustic radiation force. Ultrasound Med Biol 2008; 34:546-558
20. Brusseau E, Kybic J, Deprez JF, Basset O. 2-D locally regularized tissue strain estimation from radio-frequency ultrasound images: theoretical developments and results on experimental data. IEEE Trans Med Imaging 2008; 27:145-160
21. Colletta C, Smirne C, Fabris C, et al. Value of two noninvasive methods to detect progression of fibrosis among HCV carriers with normal aminotransferases. Hepatology 2005; 42:838-845 (Pubitemid 41401121)