Spatial statistics based feature descriptor for RF ultrasound data

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 33-36

  Klein, T ^a   Hansson, M ^b   Navab, N ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b MALMÖ UNIVERSITY   (Sweden)

Author keywords

Auto model; Feature Descriptor; Markov Random Field; RF ultrasound; Ultrasound

Indexed keywords

AUTO-MODEL; FEATURE DESCRIPTORS; GLOBAL DATA; HUMAN NECK; INTERACTION PARAMETERS; LOCAL PATTERNS; MARKOV RANDOM FIELD; MARKOV RANDOM FIELDS; RADIO FREQUENCIES; RF DATA; RF ULTRASOUND; SPATIAL STATISTICS; TEXTURE MODELS; ULTRASOUND DATA;

MAXIMUM LIKELIHOOD; MEDICAL IMAGING;

ULTRASONICS;

EID: 80055037999     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872348     Document Type: Conference Paper

References (17)

1. P. M. Shankar, J. M. Reid, H. Ortega, C. W. Piccoli, and B. B. Goldberg, "Use of non-rayleigh statistics for the identification of tumors in ultrasonic b-scans of the breast," IEEE Trans. Med. Imag., vol. 12, no. 4-5, pp. 687-692, 1993.
2. Robert F. Wagner, Stephen W. Smith, John M. Sandrik, and Hector Lopez, "Statistics of Speckle in Ultrasound B-Scans," IEEE Trans. Sonics and Ultrasonics, vol. 30, no. 3, pp. 156-163, 1983.
3. R. D. Lord, "The use of the hankel transform in statistics. i," Pattern Recogn. Lett., vol. 41, no. 4-5, 1954.
4. E. Jakeman and P. N. Pusey, "A model for non-rayleigh sea echo," IEEE Trans. Antennas Propag., vol. 24, no. 4-5, pp. 806-814, 1976.
5. V. Dutt and J. F. Greenleaf, "Ultrasound echo envelope analysis using a homodyned k-distribution signal model," Ultrason. Imag., vol. 16, no. 4-5, pp. 265-287, 1994.
6. E. Jakeman, "K-distributed noise," J. Opt. A: Pure Appl. Opt, vol. 1, no. 4-5, 1999.
7. T. Eltoft, "Speckle: Modeling and filtering," in Norwegian Signal Process. Symp., Bergen, Norway, October 2-3 2003, Norwegian Signal Process. Symp., Norwegian Signal Process. Symp.
8. P Mohana Shankar, "A general statistical model for ultrasonic backscattering from tissues," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on DOI - 10.1109/58.764862, vol. 47, no. 3, pp. 727-736, 2000.
9. N. Nakagami, "The m-distribution, a general formula for intensity distribution of rapid fadings," in Statistical Methods in Radio Wave Propagation, W. G. Hoffman, Ed. Oxford, England: Pergamon, 1960.
10. Christoph B. Burckhardt, "Speckle in Ultrasound B-Mode Scans," IEEE Trans. Sonics and Ultrasonics, vol. 25, pp. 1-6, 1978.
11. PM Shankar, VA Dumane, JM Reid, V Genis, F Forsberg, CW Piccoli, and BB Goldberg, "Classification of ultrasonic b-mode images of breast masses using nakagami distribution," Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 48, no. 2, pp. 569-580, 2002.
12. F Destrempes, J Meunier, M.-F Giroux, G Soulez, and G Cloutier, "Segmentation in ultrasonic b-mode images of healthy carotid arteries using mixtures of nakagami distributions and stochastic optimization.," IEEE Trans Med Imaging, vol. 28, no. 2, pp. 215-229, Feb 2009.
13. J Besag, "Spatial interaction and the statistical analysis of lattice systems," Journal of the Royal Statistical Society. Series B (Methodological), vol. 36, no. 2, pp. 192-236, 1974.
14. N Bouhlel and S Sevestre-Ghalila, "Nakagami markov random field as texture model for ultrasound rf envelope image," Computers in Biology and Medicine, vol. 39, no. 6, pp. 535-544, 2009.
15. J. A. Noble, "Ultrasound image segmentation and tissue characterization," Proc. IMechE, vol. 224, no. 8, pp. 307-216, 2009.
16. J Besag, "Statistical analysis of non-lattice data," The statistician, vol. 24, no. 3, pp. 179-195, 1975.
17. T Hertz, A Bar-Hillel, and D Weinshall, "Boosting margin based distance functions for clustering," Proceedings of the twenty-first international conference on Machine learning, p. 50, 2004.