Breast tissue characterization using FARMA modeling of ultrasonic RF echo

Ultrasound in Medicine and Biology

Volumn 30, Issue 10, 2004, Pages 1397-1407

  Alacam, Burak ^a   Yazici, Birsen ^a   Bilgutay, Nihat ^b   Forsberg, Flemming ^c   Piccoli, Catherine ^c  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b DREXEL UNIVERSITY   (United States)

^c THOMAS JEFFERSON UNIVERSITY   (United States)

Author keywords

Breast cancer; Computer aided diagnosis; Fractional differencing; Tissue characterization; Ultrasound RF echo modeling

Indexed keywords

FRACTIONAL DIFFERENCING AUTO REGRESSIVE MOVING AVERAGE (FARMA); LEVEL OF SUSPICION; POTENTIAL INDICATORS; RECEIVER OPERATING CHARACTERISTICS (ROC);

BACKSCATTERING; CHARACTERIZATION; DIAGNOSIS; PERSONNEL TRAINING; RADIOLOGY; TUMORS;

ULTRASONICS;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; BREAST; BREAST CANCER; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; CONFIDENCE INTERVAL; CORRELATION ANALYSIS; DIAGNOSTIC TEST; HUMAN; HUMAN TISSUE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; TISSUE CHARACTERIZATION; ULTRASOUND;

ADOLESCENT; ADULT; AGE FACTORS; AGED; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; MIDDLE AGED; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, MAMMARY;

EID: 9644291874     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2004.08.023     Document Type: Article

References (43)

1. U.R. Abeyratne, A.P. Petropolu, J.M. Reid Higher-order statistics for tissue characterization from ultrasound images 1997 72 76 Proceedings of the IEEE Signal Processing Workshop
2. U.R. Abeyratne, A.P. Petropolu, J.M. Reid, T. Golas, E. Conant, F. Forsberg Higher order versus second order statistics in ultrasound image deconvolution IEEE Trans Ultrason Ferroelect Freq Contr 44-6 1997 1409 1416
3. H. Akaike Statistical Predictor Identification Annual Ins Statist Math 22 1970 203 217
4. American Cancer Society Cancer Facts and Figures 2003
5. O. Anderson Time Series Analysis and Forecasting The Box-Jenkins Approach 1976 Butterworths London
6. 2 noise in financial time series 2001 791 796 Proceedings of 16th International Conference on Noise in Physical Systems and 1/f Fluctuations (World Scientific). October 22-25, 2001, Gainesville, FL
7. G.E.P. Box, G.M. Jenkins Time Series Analysis Forecasting and Control 1976 Holdan Day San Francisco
8. P.J. Brockwell, R.A. Davis Time Series Theory and Methods 1991 Springer-Verlag New York
9. M. Cetin, W.C. Karl A statistical method for discrimination of natural terrain types for SAR data 1 1998 587 591 Proceedings of IEEE Conference on Image Processing. October 4-7, 1998, Chicago, IL
10. C. Chatfield The Analysis of Time Series Theory and Practice 2 1975 Chapman and Hall London 488 491
11. F.S. Cohen, G. Georgiou Detecting and estimating structure regularity of soft tissue organs from ultrasound images Proceedings of the IEEE International Conference on Image Processing. October 23-26, 1995, Washington, DC 2 1995 488 491
12. F.S. Cohen, G. Georgiou WOLD decomposition of the backscatter echo in ultrasound images of soft tissue organs IEEE Trans Ultrason Ferroelec Freq Contr 44-2 1997 460 472
13. K.D. Donohue, L. Huang Ultrasonic scatterer structure classification with the generalized spectrum 6 2001 3401 3404 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. May 7-11, 2001, Salt Lake City, UT
14. R.O. Duda, P.E. Hart, D.G. Stork Pattern Classification 2000 Wiley-Interscience New York
15. V. Dutt, J.F. Greenleaf Ultrasound echo envelope analysis using a homodyned K distrubution signal model Ultrason Imaging 16 1994 265 287
16. K. Fukunaga Introduction to Statistical Pattern Recognition 1990 Academic Press New York
17. T. Hastie The Elements of Statistical Learning 2001 Springer Verlag New York
18. J.R.M. Hosking Fractional differencing Biometrika V68 1981 165 176
19. J. Ilow Parameter estimation in FARIMA processes with applications to network traffic modeling IEEE Trans Com 2000 505 509
20. International Agency for Research on Cancer Cancer Incidence, Mortality and Prevalence Worldwide. IARC Cancer Base No. 5 2001 IARC Press Lyon
21. M. Karaoguz, N. Bilgutay, B. Onaral Modeling of scattering dominated ultrasonic attenuation using power-law function IEEE Ultrasonics Symposium 1 2000 793 796
22. R.L. Kashyap, P.M. Lapsa Synthesis and estimation of random fields using long correlation models. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI V6 1984 800 809
23. R.L. Kashyap, K.B. Eom Estimation in Long-memory Time Series Model Journal of Time Series Analysis 9-1 1987 35 41
24. R.L. Kashyap, K.B. Eom Texture boundary detection based on the long correlation model. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI V11 1989 58 67
25. M.A. Kutay, A.P. Petropulu, J.M. Reid, K. Piccoli Malignant versus benign tumor classification based on ultrasonic B-scan images of the breast IEEE ultrasonics symposium 2000 1383 1386
26. M.A. Kutay, A.P. Petropulu, W. Piccoli On modeling a biomedical ultrasound RF echoes using a power-law shot-noise model IEEE Trans Ultrason Ferroelect, Freq Cont 48-4 2001 953 968
27. a scaling in natural image spectra J Opt Soc Am 17-1 2000 28 33
28. B.B. Mandelbrot, Ness I.W. Van Fractional Brownian motions, fractional noises, and applications Society Ind. Appl Math (SIAM) 10 1968 422 437
29. V.M. Narayanan, P.M. Shankar, J.M. Reid Non-Rayleigh statistics of ultrasonic backscattered signals IEEE Trans Ultrason Ferroelect Freq Contr 41-6 1994 845 852
30. National Cancer Institute Cancer Facts Lifetime probability of breast cancer in American women 2002
31. S.J. Rainville, F.A. Kingdom Spatial-scale contribution to the detection of mirror symmetry in fractal noise J Opt Soc Am 16-9 1999 2112 2123
32. E.K. Roger Statistics An Introduction 1999 Baylor University New York
33. P.M. Shankar, R.C. Molthen, V.M. Narayanan Further studies on the use of non-Rayleigh statistics for ultrasonic tissue characterization Ultrasound Med Biol 22-7 1996 873 882
34. P.M. Shankar A model for ultrasonic scattering from tissues based on K-distribution Phys Med Biol 40 1995 1633 1649
35. P.M. Shankar, V.A. Dumane, J.M. Reid Classification of ultrasonic B-mode images of breast masses using Nakagami distribution IEEE Trans Ultrason Ferroelect Freq Contr 48-2 2001 569 580
36. P.M. Shankar, V.A. Dumane Use of frequency diversity and Nakagami statistics in ultrasonic tissue characterization IEEE Trans Ultrason Ferroelect Freq Contr 48-4 2001 1139 1145
37. Thomas Jefferson University, Radiology Department, Philadelphia, PA, USA.
38. T.A. Tuthill, R.H. Sperry, K.J. Parker Deviations from Rayleigh statistics in ultrasonic speckle Ultrason Imaging 10 1988 81 89
39. University of Pennsylvania, Radiology Department, Philadelphia, PA, USA.
40. R.F. Wagner, S.W. Smith, J.M. Sandrick, H. Lopez Statistics of speckle in ultrasound B-scans IEEE Trans Son Ultrason 30 1983 156 163
41. C.Y. Wen, R. Acharya Fractal Analysis of Self-Similar Textures Using a Fourier-Domain Maximum Likelihood Estimation Method Image Processing International Conference. Lausanne, Switzerland, September 1996 A 1998 165 168
42. H.D. Xiong, D.M. Fleetwood, D.K. Choi, A.L. Sternberg Temperature dependence and irradiation response of 1/f-noise in MOSFETs IEEE Trans Nuc Sci 49-6 2002 2718 2723
43. B. Yazici, R.L. Kashyap Signal modeling and parameter estimation for 1/f processes using scale stationary models 1996 2841 2844 Proceedings of ICASSP May 7-10, 1996, Atlanta, GA