Adaptive spectral estimators for fast flow-profile detection

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 60, Issue 2, 2013, Pages 421-427

  Ricci, Stefano ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE METHODS; BLOOD VELOCITY; CAROTID ARTERY; CAROTID BIFURCATION; DOPPLER; FREQUENCY CONTENTS; FREQUENCY ESTIMATORS; HIGH TEMPORAL RESOLUTION; IN-VIVO; ITERATIVE ADAPTIVE APPROACHES (IAA); OBSERVATION WINDOW; PHASE ESTIMATORS; SMALL SAMPLES; SPECTRAL ESTIMATOR; SPECTRAL PROFILE; SPECTROGRAMS; WELCH METHOD;

BLOOD; ITERATIVE METHODS;

ESTIMATION;

ALGORITHM; BLOOD FLOW VELOCITY; BLOOD PRESSURE; CAROTID ARTERY; DOPPLER FLOWMETRY; HUMAN; LETTER; METHODOLOGY; PHYSIOLOGY; PULSE WAVE; SIGNAL NOISE RATIO; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; BLOOD FLOW VELOCITY; BLOOD PRESSURE; CAROTID ARTERIES; HUMANS; MODELS, THEORETICAL; PULSE WAVE ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; ULTRASONOGRAPHY, DOPPLER;

EID: 84873877527     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/TUFFC.2013.2579     Document Type: Article

References (29)

1. D. H. Evans and W. N. Mcdicken, Doppler Ultrasound: Physics, Instrumentation and Signal Processing, 2nd ed., chichester, UK: Wiley, 2000.
2. R. Krams, G. Bambi, F. Guidi, F. Helderman, A. F. W. Van der steen, and P. Tortoli, "Efect of vessel curvature on doppler derived velocity profles and fuid fow" Ultrasound Med. Biol., vol. 31, no. 5, pp. 663-671, http://dx.doi.org/10.1016/j.ultrasmedbio.2005.01.011, 2005. (Pubitemid 40615186)
3. P. Tortoli, S. Ricci, F. Andreuccetti, and L. Forzoni, "Detection of chronic cerebro-spinal venous inefciency through multigate quality doppler profles," in Proc. IEEE Ultrasonics Symp., 2010, pp. 1190-1193, http://dx.doi.org/10.1109/UlTsyM.2010.5935623.
4. F. Gran, A. Jakobsson, and J. A. Jensen, "Adaptive spectral doppler estimation," IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 56, no. 4, pp. 700-714, http://dx.doi.org/10.1109/TUFFc.2009.1093, 2009.
5. N. Oddershede, F. Gran, and J. A. Jensen, "Multi-frequency encoding for fast color fow or quadroplex imaging," IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 55, no. 4, pp. 778-786, http://dx.doi.org/10. 1109/TUFFc.2008.712, 2008. (Pubitemid 351658813)
6. S. Ricci, S. Diciotti, L. Francalanci, and P. Tortoli, "Accuracy and reproducibility of a novel dual-beam vector doppler method," Ultrasound Med. Biol., vol. 35, no. 5, pp. 829-838, http://dx.doi.Org/10.1016/j. ultrasmedbio.2008.10.012, 2009.
7. D. G. Manolakis, V. K. Ingle, and S. M. Kogon, Statistical and Adaptive Signal Processing. Norwood, Ma: artech House, 2005.
8. P. D. Welch, "The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modi-fed periodograms," IEEE Trans. Audio Electroacoust., vol. 15, no. 2, pp. 70-73, http://dx.doi.org/10.1109/TaU.1967.1161901, 1967.
9. R. Willink and D.H. Evans, "Statistical bias and variance in blood fow estimation by spectral analysis of doppler signals," Ultrasound Med. Biol., vol. 21, no. 7, pp. 919-935, http://dx.doi.Org/10.1016/0301-5629(95) 00033-n, 1995.
10. E. D. Ubeyli and I. Guler, "Spectral analysis of internal carotid arterial doppler signals using FFT, ar, Ma, and arMa methods," Comput. Biol. Med., vol. 34, no. 4, pp. 293-306, http://dx.doi.Org/10.1016/s0010- 4825(03)00060-X, 2004.
11. G. Guidi, L. Corti, and P. Tortoli, "Application of autoregressive methods to multigate spectral analysis," Ultrasound Med. Biol., vol. 26, no. 4, pp. 585-592, http://dx.doi.org/10.1016/s0301-5629(00)00145-9, 2000. (Pubitemid 30336660)
12. J. Li and P. Stoica, "An adaptive fltering approach to spectral estimation and sar imaging," IEEE Trans. Signal Process., vol. 44, no. 6, pp. 1469-1484, http://dx.doi.org/10.1109/78.506612, 1996. (Pubitemid 126777963)
13. T. Yardibi, J. Li, P. Stoica, M. Xue, and A. B. Baggeroer, "Source localization and sensing: a nonparametric iterative approach based on weighted least squares," IEEE Trans. Aerosp. Electron. Syst., vol. 46, no. 1, pp. 425-443, http://dx.doi.org/10.1109/TaEs.2010.5417172, 2010.
14. E. G. Larsson, J. Li, and P. Stoica, "High resolution non parametric spectral analysis: Theory and applications," in High-Resolution and Robust Signal Processing, new york, ny: Marcel dekker, 2003, ch. 4.
15. E. Gudmundson, A. Jakobsson, J. A. Jensen, and P. Stoica, "Blood velocity estimation using ultrasound and spectral iterative adaptive approaches," Signal Process., vol. 91, no. 5, pp. 1275-1283, http://dx.doi.org/10.1016/j.sigpro.2010.12.014, 2011.
16. K. L. Hansen, F. Gran, M. M. Pedersen, I. K. Holfort, J. A. Jensen, and M. B. Nielsen, "In-vivo validation of fast spectral velocity estimation techniques," Ultrasonics, vol. 50, no. 1, pp. 52-59, http://dx.doi.org/10. 1016/j.ultras.2009.07.007, 2010.
17. P. Tortoli, L. Bassi, E. Boni, A. Dallai, F. Guidi, and S. Ricci, "Ula-oP: an advanced open platform for ultrasound research," IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 56, no. 10, pp. 2207-2216, http://dx.doi.org/10.1109/TUFFc.2009.1303, 2009.
18. E. Boni, L. Bassi, A. Dallai, F. Guidi, A. Ramalli, S. Ricci, J. Hous-den, and P. Tortoli, "A reconfgurable and programmable FPGa-based system for nonstandard ultrasound methods," IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 59, no. 7, pp. 1378-1385, http://dx.doi.org/10. 1109/TUFFc.2012.2338, 2012.
19. S. Ricci, F. Guidi, and P. Tortoli, "Velocity profle detection through adaptive spectral estimators," in Proc. IEEE Ultrasonics Symp., 2010, pp. 57-60, http://dx.doi.org/10.1109/UlTsyM.2010.5935437.
20. S. Ricci, L. Bassi, E. Boni, A. Dallai, and P. Tortoli, "Multichannel FPGa-based arbitrary waveform generator for medical ultrasound," Electron. Lett., vol. 43, no. 24, pp. 1335-1336, http://dx.doi.Org/10.1049/el:20072859, 2007. (Pubitemid 350165877)
21. E. Larsson and P. Stoica, "Fast implementation of two-dimensional aPEs and capon spectral estimators," Multidimens. Syst. Signal Process., vol. 13, no. 1, pp. 35-54, http://dx.doi.Org/10.1023/a:1013891327453, 2002.
22. G. O. Glentis, "A fast algorithm for aPEs and capon spectral estimation," IEEE Trans. Signal Process., vol. 56, no. 9, pp. 4207-4220, http://dx.doi.org/10.1109/TsP.2008.925940, 2008.
23. G. O. Glentis, "Efcient algorithms for adaptive capon and aPEs spectral estimation," IEEE Trans. Signal Process., vol. 58, no. 1, pp. 84-96, http://dx.doi.org/10.1109/TsP.2009.2028935, 2010.
24. G.-O. Glentis and A. Jakobsson, "Efcient implementation of iterative adaptive approach spectral estimation techniques," IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4154-4167, http://dx.doi.Org/10.1109/TsP.2011. 2145376, 2011.
25. A. Yu and L. Lovstakken, "Eigen-based clutter flter design for ultrasound color fow imaging: a review," IEEE Trans. Ultrason. Fer-roelectr. Freq. Control, vol. 57, no. 5, pp. 1096-1111, http://dx.doi.Org/ 10.1109/TUFFc.2010.1521, 2010.
26. S. Ricci, M. Cinthio, L. Francalanci, and P. Tortoli, "Volumetric blood fow assessment through multigate spectral doppler," Proc. 2009 IEEE Ultrasonics Symp., pp. 570-573, doi: 10.1109/UlT-syM.2009.5442066.
27. A. J. S. Coats, C. Murphy, J. Conway, and P. Sleight, "Validation of the beat to beat measurement of blood velocity in the human ascending aorta by a new high temporal resolution doppler ultrasound spectral analyser," Br. Heart J., vol. 68, no. 2, pp. 223-229, 1992.
28. E. D. Spiegel, Z. Weiner, E. Weiner, and E. Shalev, "Umbilical-pla- cental blood fow gradient during the early second trimester of pregnancy," J. Matern. Fetal Neonatal Med., vol. 17, no. 2, pp. 133-136, 2005. (Pubitemid 40769354)
29. R. I. Liang, N. Prapas, L. Detti, E. Cosmi, J. A. Copel, and G. Mari, "Assessment of blood fow velocity waveforms of the pulmonary circulation by multigate spectral doppler scanning and traditional pulsed doppler ultrasonography," J. Ultrasound Med., vol. 21, no. 1, pp. 31-37, 2002. (Pubitemid 34052399)