Rayleigh mixture model for plaque characterization in intravascular ultrasound

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 5, 2011, Pages 1314-1324

  Seabra, José C ^a   Ciompi, Francesco ^b   Pujol, Oriol ^b,c   Mauri, Josepa ^d   Radeva, Petia ^b,c   Sanches, Joo ^a  

^a INSTITUTE FOR SYSTEMS AND ROBOTICS   (Portugal)

^b UNIVERSITY OF BARCELONA   (Spain)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^d HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

Echomorphology; intravascular ultrasound (IVUS); plaque characterization; Rayleigh mixture model (RMM); vulnerable plaque

Indexed keywords

ECHOMORPHOLOGY; INTRAVASCULAR ULTRASOUND (IVUS); PLAQUE CHARACTERIZATION; RAYLEIGH; VULNERABLE PLAQUES;

ALGORITHMS; IMAGE SEGMENTATION; MIXTURES; OPTIMIZATION; TISSUE; ULTRASONICS;

PARAMETER ESTIMATION;

ANALYSIS; ARTICLE; COMPARATIVE STUDY; ECHOMORPHOLOGY; HUMAN; INFORMATION PROCESSING; INTRAVASCULAR ULTRASOUND; MODEL; MORPHOLOGY; PLAQUE CHARACTERIZATION; RAYLEIGH MIXTURE MODEL; TISSUE TYPES;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PLAQUE, ATHEROSCLEROTIC; REPRODUCIBILITY OF RESULTS; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 79955527380     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2011.2106498     Document Type: Article

References (23)

1. L. Spagnoli, A. Mauriello, and G. Sangiorgi, "Extracranial thrombotically active carotid plaque as a risk factor for ischemic stroke," J. Amer. Med. Assoc., vol. 292, pp. 1845-1852, 2004. (Pubitemid 40169295)
2. T. L. Szabo, Diagnostic Ultrasound Imaging: Inside Out. NewYork: Academic, 2004.
3. C.Burckhardt, "Speckle in ultrasound B-mode scans," IEEE Trans. Sonics Ultrason., vol. SU-25, no. 1, pp. 1-6, Jan. 1978. (Pubitemid 8381750)
4. J. Thijssen, "Ultrasonic speckle formation, analysis and processing applied to tissue characterization," Pattern Recognit. Lett., vol. 24, no. 4/5, pp. 659-675, 2003. (Pubitemid 35326792)
5. T. Eltoft, "Modeling the amplitude statistics of ultrasonic images," IEEE Trans. Med. Imag., vol. 25, no. 2, pp. 229-240, Feb. 2006. (Pubitemid 43172577)
6. E. Brusseau, C. de Korte, F. Mastik, J. Schaar, and A. van der Steen, "Fully automatic luminal contour segmentation in intracoronary ultrasound imaging-A statistical approach," IEEE Trans.Med. Imag., vol. 23, no. 5, pp. 554-566, May 2004.
7. R. W. Prager, A. H. Gee, G. M. Treece, and L. Berman, "Decompression and speckle detection for ultrasound images using a homodyned K distribution," Pattern Recognit. Lett., vol. 24, no. 4/5, pp. 705-713, Feb. 2003. (Pubitemid 35326794)
8. E. Jakeman, "Speckle statistics with a small number of scatterers," Opt. Eng., vol. 23, no. 4, pp. 453-461, 1984. (Pubitemid 14626353)
9. V. Dutt and J. F. Greenleaf, "Ultrasound echo envelope analysis using a homodyned K distribution signal model," Ultrason. Imag., vol. 16, no. 4, pp. 265-287, 1994.
10. P. Shankar, "Ultrasonic tissue characterization using a generalized Nakagami model," IEEE Trans. Ultrason., Ferroelectr. Freq. Control, vol. 48, no. 6, pp. 1716-1720, Nov. 2001. (Pubitemid 34125272)
11. K. Sorensen and S. Andersen, "Rayleigh mixture model-based hidden Markov modeling and estimation of noise in noisy speech signals," IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 3, pp. 901-917, Mar. 2007.
12. F. Ciompi, O. Pujol, C. Gatta, O. Rodriguez, F. Mauri, and P. Radeva, "Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization," Int. J. Cardiovasc. Imag., vol. 26, no. 7, pp. 763-779, 2010.
13. C. Sehgal, "Quantitative relationship between tissue composition and scattering of ultrasound," Acoust. Soc. Amer. J., vol. 94, pp. 1944-1952, Oct. 1993. (Pubitemid 23307654)
14. A. P. Dempster, N. M. Laird, and D. B. Rdin, "Maximum likelihood from incomplete data via theEMalgorithm," J. Roy. Statist. Soc., Ser. B, vol. 39, pp. 1-38, 1977.
15. G. Hadley, Nonlinear and Dynamic Programming. Reading, MA: Addison-Wesley, 1964.
16. J. Harris and H. Stocker, "Maximum likelihood method," in Handbook of Mathematics and Computational Science. New York: Springer-Verlag, 1998, p. 824.
17. K. L. Caballero, J. Barajas, O. Pujol, O. Rodriguez, and P. Radeva, "Using reconstructed IVUS images for coronary plaque classification," in Proc. IEEE Eng. Med. Biol. Conf., Lyon, France, pp. 2167-2170.
18. M. Rosales and P. Radeva, "A basic model for IVUS image simulation," in Handbook of Biomedical Image Analysis (Topics in Biomedical Engineering International Book Series). New York: Springer-Verlag, 2005, pp. 1-55..
19. T. G. Dietterich and G. Bakiri, "Solving multiclass learning problems via error-correcting output codes," J. Artif. Intell. Res., vol. 2, pp. 263-286, 1995.
20. R. E. Schapire, "Using output codes to boost multiclass learning problems," in Proc. 14th Int. Conf. Mach. Learning. Nashville, TN:Morgan Kaufmann, 1997, pp. 313-321.
21. J. Rennie, "Boosting with decision stumps and binary features," Massachusetts Inst. Technol., Cambridge, MA, Tech. Rep., 2003.
22. T. Cover and J.A Thomas, Elements of Information Theory. NewYork: Wiley-Interscience, 1991.
23. J. Dem̈sar, "Statistical comparisons of classifiers over multiple data sets," J. Mach. Learning Res., vol. 7, pp. 1-30, 2006. (Pubitemid 43022939)