Use of Nakagami Statistics and Empirical Mode Decomposition for Ultrasound Tissue Characterization by a Nonfocused Transducer

Ultrasound in Medicine and Biology

Volumn 35, Issue 12, 2009, Pages 2055-2068

  Tsui, Po Hsiang ^a   Chang, Chien Cheng ^a,b   Ho, Ming Chih ^c,d   Lee, Yu Hsin ^c   Chen, Yung Sheng ^e   Chang, Chien Chung ^f   Huang, Norden E ^a,f   Wu, Zhao Hua ^g   Chang, King Jen ^c,d  

^a RESEARCH CENTER FOR APPLIED SCIENCES   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

^d NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^e YUAN ZE UNIVERSITY   (Taiwan)

^f NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^g FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Empirical mode decomposition; Nakagami distribution; Tissue characterization

Indexed keywords

BACK-SCATTERED; BACKSCATTERED ECHOES; BACKSCATTERED SIGNAL; ECHO INTENSITY; EMPIRICAL MODE DECOMPOSITION; IN-VITRO; INHOMOGENEITIES; LIVER FIBROSIS; NAKAGAMI DISTRIBUTION; NAKAGAMI PARAMETER; NAKAGAMI STATISTICS; RAT LIVERS; SCATTERER CONCENTRATIONS; TISSUE CHARACTERIZATION; ULTRASOUND TISSUE CHARACTERIZATION;

ACOUSTIC SIGNAL PROCESSING; PIEZOELECTRIC TRANSDUCERS; TISSUE; ULTRASONICS;

SCATTERING;

ACCURACY; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; CONTROLLED STUDY; ECHOGRAPHY; HISTOPATHOLOGY; IN VITRO STUDY; LIVER FIBROSIS; MALE; MATHEMATICAL ANALYSIS; MEASUREMENT; NONHUMAN; PHANTOM; PRIORITY JOURNAL; RAT; STATISTICAL PARAMETERS; TISSUE CHARACTERIZATION; ULTRASOUND TRANSDUCER;

ALGORITHMS; ANIMALS; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER; LIVER CIRRHOSIS; RATS; RATS, WISTAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 71749117291     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2009.08.003     Document Type: Article

References (48)

1. Bevan P.D., and Sherar M.D. B-scan ultrasound imaging of thermal coagulation in bovine liver: Frequency shift attenuation mapping. Ultrasound Med. Biol 27 (2001) 809-817
2. Boashash B. Estimating and interpreting the instantaneous frequency of a signal-Part 1: Fundamentals. Proc IEEE 80 (1992) 520-538
3. Burckhardt C.B. Speckle in ultrasound B-mode scans. IEEE Trans Sonics Ultrason SU-25 (1978) 1-6
4. Christensen D.A. Ultrasonic bioinstrumentation (1988), Wiley, New York
5. Cloutier G., Daronatand M., Savery D., Garcia D., Durand L.G., and Foster F.S. Non-Gaussian statistics and temporal variations of the ultrasound signal backscattered by blood at frequencies between 10 and 58 MHz. J Acoust Soc Am 116 (2004) 566-577
6. Dutt V., and Greenleaf J.F. Ultrasound echo envelope analysis using a homodyned K distribution signal model. Ultrason Imag 16 (1994) 265-287
7. Dumane V.A., and Shankar P.M. Use of frequency diversity and Nakagami statistics in ultrasonic tissue characterization. IEEE Trans Ultrason Ferroelectr Freq Control 48 (2001) 1139-1146
8. Flandrin P., Rilling G., and Goncalves P. Empirical mode decomposition as a filter bank. IEEE Signal Proc Lett 11 (2004) 112-114
9. George J., Rao K.R., Stenr R., and Chandrakasan G. Dimethylnitrosamine-induced liver injury in rats: The early deposition of collagen. Toxicology 156 (2001) 129-138
10. Guimond A., Teletin M., Garo E., D'Sa A., Selloum M., Champy M.F., Vonesch J.L., and Monassier L. Quantitative ultrasonic tissue characterization as a new tool for continuous monitoring of chronic liver remodelling in mice. Liver Int 27 (2007) 854-864
11. Hampshire JBI, Strohbehn JW, McDaniel MD, Waugh JL, James DH. Probability density of myocardial ultrasonic backscatter. Proceedings of the 14th Annual Northeast Bioengineering Conference 1988;March:305-308.
12. Huang C.C., and Wang S.H. Statistical variations of ultrasound signals backscattered from flowing blood. Ultrasound Med Biol 33 (2007) 1943-1954
13. Huang N.E., Shen Z., Long S.R., Wu M.C., Shih H.H., Zheng Q., Yen N.C., Tung C.C., and Liu H.H. The empirical mode decomposition method and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Royal Soc London A 454 (1998) 903-995
14. Huang N.E., Shen Z., and Long S.R. A new view of nonlinear water waves: The Hilbert spectrum. Annu Rev Fluid Mech 31 (1999) 417-457
15. Karmeshu, and Agrawal R. Study of ultrasonic echo envelope based on Nakagami-inverse Gaussian distribution. Ultrasound Med Biol 32 (2006) 371-376
16. Lu Z.F., Zagzebski J.A., and Lee F.T. Ultrasound backscatter and attenuation in human liver with diffuse disease. Ultrasound Med Biol 25 (1999) 1047-1054
17. Meziri M., Pereirab W.C.A., Abdelwahabc A., Degottd C., and Laugierc P. In vitro chronic hepatic disease characterization with a multiparametric ultrasonic approach. Ultrasonics 43 (2005) 305-313
18. Nadarajah S. Statistical distributions of potential interest in ultrasound speckle analysis. Phys Med Biol 52 (2007) N213-N227
19. Oosterveld B.J., Thijssen J.M., and Verhoef W.A. Texture of B-mode echograms: 3-D simulations and experiments of the effects of diffraction and scatter density. Ultrason Imag 7 (1985) 142-160
20. Raju B.I., and Srinivasan M.A. Statistics of envelope of high-frequency ultrasonic backscatter from human skin in vivo. IEEE Trans Ultrason Ferroelectr Freq Control 49 (2002) 871-882
21. Rilling G., and Flandrin P. On the influence of sampling on the empirical mode decomposition. ICASSP 3 (2006) 444-447
22. Rilling G., and Flandrin P. Sampling effects on the empirical mode decomposition. Adv Adaptive Data Anal 1 (2009) 43-59
23. Schwartz M., Bennett W.R., and Stein S. Communications systems and techniques (1966), McGraw-Hill, New York
24. Shankar P.M. A model for ultrasonic scattering from tissues based on K-distribution. Phys Med Biol 40 (1995) 1633-1649
25. Shankar P.M. A general statistical model for ultrasonic backscattering from tissues. IEEE Trans Ultrason Ferroelectr Freq Control 47 (2000) 727-736
26. Shankar P.M., Dumane V.A., Reid J.M., Genis V., Forsberg F., Piccoli C.W., and Goldberg B.B. Classification of ultrasonic B-mode images of breast masses using Nakagami distribution. IEEE Trans Ultrason Ferroelectr Freq Control 48 (2001) 569-580
27. Shankar P.M., Dumane V.A., George T., Piccoli C.W., Reid J.M., Forsberg F., and Goldberg B.B. Classification of breast masses in ultrasonic B scans using Nakagami and K distributions. Phys Med Biol 48 (2003) 2229-2240
28. Shankar P.M. A compounding scattering pdf for the ultrasonic echo envelope and its relationship to K and Nakagami distributions. IEEE Trans Ultrason Ferroelectr Freq Control 50 (2003) 339-343
29. Shankar P.M. The use of the compounding probability density function in ultrasonic tissue characterization. Phys Med Biol 49 (2004) 1007-1015
30. Shung K.K., and Thieme G.A. Ultrasonic scattering in biological tissues (1993), CRC Press, Boca Raton
31. Suzuki K., Hayashi N., Sasaki Y., Kono M., Kasahara A., Imai Y., Fusamoto H., and Kamada T. Evaluation of structural change in diffuse liver disease with frequency domain analysis of ultrasound. Hepatology 17 (1993) 1041-1046
32. Tsui P.H., and Wang S.H. The effect of transducer characteristics on the estimation of Nakagami parameter as a function of scatterer concentration. Ultrasound Med Biol 30 (2004) 1345-1353
33. Tsui P.H., and Chang C.C. Imaging local scatterer concentrations by the Nakagami statistical model. Ultrasound Med. Biol 33 (2007) 608-619
34. Tsui P.H., Huang C.C., Chang C.C., Wang S.H., and Shung K.K. Feasibility study of using high-frequency ultrasonic Nakagami imaging for characterizing the cataract lens in vitro. Phys Med Biol 52 (2007) 6413-6425
35. Tsui P.H., Yeh C.K., Chang C.C., and Chen W.S. Performance evaluation of ultrasonic Nakagami image in tissue characterization. Ultrason Imag 30 (2008) 78-94
36. Tsui P.H., Yeh C.K., Chang C.C., and Liao Y.Y. Classification of breast masses by ultrasonic Nakagami imaging: A feasibility study. Phys Med Biol 53 (2008) 6027-6044
37. Tsui P.H., Chang C.C., Chang C.C., Huang N.E., and Ho M.C. An adaptive threshold filter for ultrasound signal rejection. Ultrasonics 49 (2008) 413-418
38. Tuthill T.A., Sperry R.H., and Parker K.J. Deviations from Rayleigh statistics in ultrasonic speckle. Ultrason Imag 10 (1988) 81-89
39. Wachowiak M.P., Smolikova R., Tourassi G.D., and Elmaghraby A.S. General ultrasound speckle models in determining scatterer density. Proc SPIE 4687 (2002) 285-295
40. Wagner R.F., Insana M.F., and Brown D.G. Statistical properties of radio-frequency and envelope detected signals with applications to medical ultrasound. J Opt Soc Am 4 (1987) 910-922
41. Wang C.Y., and Shung K.K. Variation in ultrasonic backscattering from skeletal muscle during passive stretching. IEEE Trans Ultrason Ferroelectr Freq Control 45 (1998) 504-510
42. Wang S.H., and Shung K.K. An approach for measuring ultrasonic backscattering from biological tissues with focused transducers. IEEE Trans Biomed Eng 44 (1997) 549-554
43. Wang S.H., and Tsai F.C. Characterization of bony tissues from ultrasonic backscattering using statistical models. IEEE Ultrason Symp Proc 2 (2001) 1205-1208
44. Wang S.H., and Tsui P.H. Ultrasonic techniques to assess the properties of hard and soft biological tissues. Key Eng Material 270-273 (2004) 2055-2060
45. Weng L., Reid J.M., Shankar P.M., and Soetanto K. Ultrasound speckle analysis based on the K distribution. J Acoust Soc Am 89 (1991) 2992-2995
46. Yuan Y.W., and Shung K.K. The effect of focusing on ultrasonic backscatter measurements. Ultrason Imag 8 (1986) 121-130
47. Zagzebski J.A., Chen J.F., Dong F., and Wilson T. Intervening attenuation affects first-order statistical properties of ultrasound echo signals. IEEE Trans Ultrason Ferroelectr Freq Control 46 (1999) 35-40
48. Zimmer Y., Akselrod S., and Tepper R. The distribution of the local entropy in ultrasound images. Ultrasound Med Biol 22 (1996) 431-439