Assessment of arterial distension based on continuous wave Doppler ultrasound with an improved Hilbert-Huang processing

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 57, Issue 1, 2010, Pages 203-213

  Zhang, Yufeng ^a   Su, Nafeng ^a   Li, Zhiyao ^b   Gou, Zhengpin ^c   Chen, Qiuying ^a   Zhang, Yan ^a  

^a YUNNAN UNIVERSITY   (China)

^b KUNMING MEDICAL UNIVERSITY   (China)

^c Yunnan Diqing Shangri La People's Hospital   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE METHODS; ARTERIAL WALL; CARDIAC CYCLES; CLINICAL STUDY; COMMON CAROTID ARTERY; CONTINUOUS WAVE; CONTINUOUS WAVES; CW DOPPLER; DOPPLER SIGNALS; DOPPLER ULTRASOUND; ECHO-TRACKING; EMPIRICAL MODE DECOMPOSITION; END EFFECTS; EXPERIMENTAL MEASUREMENTS; HEALTHY SUBJECTS; HILBERT; HILBERT HUANG TRANSFORMS; HILBERT SPECTRUM; INTRINSIC MODE FUNCTIONS; MOVING VELOCITY; MULTIGATE DOPPLER; QUADRATURE DOPPLER SIGNAL; ROOT-MEAN SQUARE ERRORS; SIMULATION STUDIES; STANDARD DEVIATION; VESSEL WALLS; WALL DISTENSION; WAVE FORMS;

ACOUSTIC SIGNAL PROCESSING; ACOUSTIC WAVES; MIRRORS; NON NEWTONIAN FLOW; STATISTICS; ULTRASONIC APPLICATIONS; ULTRASONIC DEVICES; ULTRASONICS; VELOCITY;

SIGNAL PROCESSING;

ALGORITHM; ARTICLE; COMMON CAROTID ARTERY; COMPUTER ASSISTED DIAGNOSIS; DOPPLER FLOWMETRY; ECHOGRAPHY; ELASTOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; YOUNG MODULUS;

ALGORITHMS; CAROTID ARTERY, COMMON; ELASTIC MODULUS; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER;

EID: 73649089666     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/TUFFC.2010.1399     Document Type: Conference Paper

References (17)

1. R. S. Reneman, J. M. Meinders, and A. P. G. Hoeks, "Non-invasive ultrasound in arterial wall dynamics in humans: What have we learned and what remains to be solved," Eur. Heart J., vol.26, no.10, pp. 960-966, May 2005.
2. A. P. G. Hoeks, P. J. Brands, and J. M. Willigers, "Non-invasive assessment of mechanical properties of arteries in health and disease," Proc.- Inst. Mech. Eng., vol.213, pp. 195-202, 1999.
3. R. W. Stadler, J. A. Taylor, and R. S. Lees, "Comparison of Bmode, M-mode and echo-tracking methods for measurement of the arterial distension waveform," Ultrasound Med. Biol., vol.23, no.6, pp. 879-887, 1997.
4. P. J. Brands, A. P. G. Hoeks, L. A. F. Ledoux, and R. S. Reneman, "A radio frequency domain complex cross-correlation model to estimate blood flow velocity and tissue motion by means of ultrasound," Ultrasound Med. Biol., vol.23, no.6, pp. 911-920, 1997.
5. J. M. Meinders, P. J. Brands, J. M. Willigers, L. Kornet, and A. P. G. Hoeks, "Assessment of the spatial homogeneity of artery dimension parameters with high frame rate 2-D B-mode," Ultrasound Med. Biol., vol.27, no.6, pp. 785-794, Jun. 2001.
6. T. Morganti, S. Ricci, F. Vittone, C. Palombo, and P. Tortoli, "Clinical validation of common carotid artery wall distension assessment based on multigate Doppler processing," Ultrasound Med. Biol., vol.31, no.7, pp. 937-945, Jul. 2005.
7. P. Tortoli, T. Morganti, G. Bambi, C. Palombo, and K. V. Ramnarine, "Noninvasive simultaneous assessment of wall share rate and wall distension in carotid arteries," Ultrasound Med. Biol., vol.32, no.11, pp. 1611-1670, 2006.
8. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. R. Soc. Lond. A., vol.A454, pp. 903-995, 1998.
9. N. Aydin, L. Fan, and D. H. Evans, "Quadrature to directional format conversion of Doppler signals using digital methods," Physiol. Meas., vol.15, no.2, pp. 181-199, May 1994.
10. J. S. Cheng, D. J. Yu, and Y. Yang, "Application of support vector regression machines to the processing of end effects of Hilbert- Huang transform," Mech. Syst. Signal Process., vol.21, no.3, pp. 1197-1211, 2007.
11. Y. J. Deng and W. Wang, "Boundary processing technique in EMD method and Hilbert transform," Chin. Sci. Bull., vol.46, no.11, pp. 257-263, 2001.
12. Y. S. Zhang, J. W. Liang, and J. X. Hu, "The processing of end effects in EMD method by autoregressive model," Prog. Nat. Sci., vol.13, no.10, pp. 1054-1059, 2003.
13. J. P. Zhao and D. J. Huang, "Mirror extending and circular Spline function for empirical mode decomposition method," J. Zhejiang Univ. Sci., vol.2, no.3, pp. 247-252, 2001.
14. J. P. Zhao, "Improvement of the mirror extending in empirical mode decomposition method and the technology for eliminating frequency mixing," High Technol. Lett., vol.8, no.3, pp. 40-47, 2002.
15. P. J. Fish, C. A. C. Bastos, and F. Vaz, "Blood and wall signal simulator for Doppler ultrasound signal analysis algorithm development," in Proc. 23rd Annu. EMBS Int. Conf., Istanbul, Turkey, 2001, pp. 135-138.
16. Y. Zhang, Y. Gao, L. Wang, J. Chen, and X. Shi, "The removal of wall components in Doppler ultrasound signals by using the Empirical Mode Decomposition algorithm," IEEE Trans. Biomed. Eng., vol.54, no.9, pp. 1631-1642, Sep. 2007. (Pubitemid 47301042)
17. D. H. Evans and W. N. McDicken, Doppler Ultrasound: Physics, Instrumentation and Signal Processing. Chichester, UK: John Wiley and Sons, 2000.