Multigate transcranial Doppler ultrasound system with real-time embolic signal identification and archival

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 53, Issue 10, 2006, Pages 1853-1861

  Fan, Lingke ^a,b   Boni, Enrico ^c   Tortoli, Piero ^a,c   Evans, David H ^a,b  

^a IEEE   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DOPPLER ULTRASOUND SYSTEM; EMBOLIC SIGNAL DETECTION; SIGNAL IDENTIFICATION;

COMPUTER HARDWARE; DOPPLER EFFECT; FAST FOURIER TRANSFORMS; REAL TIME SYSTEMS; SIGNAL DETECTION; SIGNAL PROCESSING;

ULTRASONIC DEVICES;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN EMBOLISM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DOPPLER FLOWMETRY; ECHOENCEPHALOGRAPHY; ECHOGRAPHY; EQUIPMENT; EQUIPMENT DESIGN; HOSPITAL INFORMATION SYSTEM; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; INSTRUMENTATION; METHODOLOGY; PILOT STUDY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SYSTEMS; ECHOENCEPHALOGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; INTRACRANIAL EMBOLISM; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; RADIOLOGY INFORMATION SYSTEMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY, DOPPLER;

EID: 33845622547     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/TUFFC.2006.117     Document Type: Article

References (27)

1. M. P. Spencer, "Detection of cerebral arterial emboli," in Transcranial Doppler Ultrasonography. D. W. Newell and R. Aaslid, Eds. New York: Raven, 1992, pp. 215-230.
2. D. H. Evans, "Detection of microemboli," in Transcranial Doppler Ultrasonography. 2nd ed. V. L. Babikian and L. R. Wechsler, Eds. Boston: Butterworth Heinemann, 1999, pp. 141-155.
3. H. Markus, "Microembolic signal detection in cerebrovascular disease," in Transcranial Doppler Ultrasonography. 2nd ed. V. L. Babikian and L. R. Wechsler, Eds. Boston: Butterworth Heinemann, 1999, pp. 167-174.
4. R. Dittrich, M. A. Ritter, and D. W. Droste, "Microembolus detection by transcranial Doppler ultrasonography," Eur. J. Ultrasound, vol. 16, pp. 21-30, Nov. 2002.
5. D. H. Evans, "Ultrasonic detection of cerebral emboli," in Proc. IEEE Ultrason. Symp., 2003, pp. 316-326.
6. H. Markus, A. Loh, and M. M. Brown, "Computerized detection of cerebral emboli and discrimination from artifact using Doppler ultrasound," Stroke, vol. 24, pp. 1667-1672, Nov. 1993.
7. M. Siebler, G. Rose, M. Sitzer, A. Bender, and H. Steinmetz, "Real-time identification of cerebral microemboli with US feature detection by a neural network," Radiology, vol. 192, pp. 739-742, Sep. 1994.
8. D. Georgiadis, A. Wenzel, H. R. Zerkowski, S. Zierz, and A. Lindner, "Automated intraoperative detection of Doppler microembolic signals using the bigate approach," Stroke, vol. 29, pp. 137-139, Jan. 1998.
9. E. Roy, S. Montresor, P. Abraham, and J. L. Saumet, "Spectrogram analysis of arterial Doppler signals for off-line automated hits detection," Ultrasound Med. Biol., vol. 25, pp. 349-359, Mar. 1999.
10. V. Kemeny, D. W. Droste, S. Hermes, D. G. Nabavi, G. Schulte- Altedorneburg, M. Siebler, and E. B. Ringelstein, "Automatic embolus detection by a neural network," Stroke, vol. 30, pp. 807-810, Apr. 1999.
11. W. H. Mess, B. M. Titulaer, and R. G. Ackerstaff, "A new algorithm for off-line automated emboli detection based on the pseudo-wigner power distribution and the dual gate TCD technique," Ultrasound Med. Biol., vol. 26, pp. 413-18, Mar. 2000.
12. L. Fan, D. H. Evans, and A. R. Naylor, "Automated embolus identification using a rule-based expert system," Ultrasound Med. Biol., vol. 27, pp. 1065-1077, Aug. 2001.
13. D. Georgiadis, F. Uhlmann, M. Astler, S. Cencetti, and S. Zierz, "Automated identification of Doppler microembolic signals: Comparison of two techniques," Neural. Res., vol. 22, pp. 738-740, Oct. 2000.
14. G. Devuyst, G. A. Darbellay, J. M. Vesin, V. Kemény, M. Ritter, D. W. Droste, C. Molina, J. Serena, R. Sztajzel, P. Ruchat, C. Lucchesi, G. Dietler, E. B. Ringelstein, P. A. Despland, and J. Bogousslavsky, "Automatic classification of HITS into artifacts or solid or gaseous emboli by a wavelet representation combined with dual-gate TCD," Stroke, vol. 32, pp. 2803-2809, Dec. 2001.
15. R. Brucher and D. Russell, "Automatic online embolus detection and artifact rejection with the first multifrequency transcranial Doppler," Stroke, vol. 33, pp. 1969-1974, Aug. 2002.
16. M. Cullinane, Z. Kaposzta, S. Reihill, and H. S. Markus, "Online automated detection of cerebral embolic signals from a variety of embolic sources," Ultrasound Med. Biol., vol. 28, pp. 1271-1277, Oct. 2002.
17. L. Fan, D. H. Evans, A. R. Naylor, and P. Tortoli, "Real-time identification and archival of microembolic Doppler signals using a knowledge-based system," Med. Biol. Eng. Comput., vol. 42, pp. 193-200, Mar. 2004.
18. S. Marvasti, D. Gillies, F. Marvasti, and H. S. Markus, "Online automated detection of cerebral embolic signals using a wavelet-based system," Ultrasound Med. Biol., vol. 30, pp. 647-653, May 2004.
19. L. Cohen, "Time-frequency distributions - A review," Proc. IEEE, vol. 77, pp. 941-981, July 1989.
20. P. Jackson, Introduction to Expert Systems, 2nd ed. Harlow, UK: Addison-Wesley, 1990, pp. 368-383.
21. K. V. Ramnarine, T. Anderson, and P. R. Hoskins, "Construction and geometric stability of physiological flow rate wall-less stenosis phantoms," Ultrasound Med. Biol., vol. 27, no. 2, pp. 245-250, 2001.
22. J. L. Smith, D. H. Evans, L. Fan, P. R. F. Bell, and A. R. Naylor, "Differentiation between emboli and artefacts using dual-gated transcranial Doppler ultrasound," Ultrasound Med. Biol., vol. 22, pp. 1031-1036, 1996.
23. D. Georgiadis, J. Goeke, M. Hill, M. König, D. G. Nabavi, F. Stögbauer, P. Zunker, and E. B. Ringelstein, "A novel technique for identification of Doppler microembolic signals based on the coincidence method: In vitro and in vivo evaluation," Stroke, vol. 27, pp. 683-686, Apr. 1996.
24. G. D. Nabavi, D. Georgiadis, T. Mumme, P. Zunker, and E. B. Ringelstein, "Detection of microembolic signals in patients with middle cerebral artery stenosis by means of a bigate probe. A pilot study," Stroke, vol. 27, pp. 1347-1349, Aug. 1996.
25. J. Molloy and H. S. Markus, "Multigated Doppler ultrasound in the detection of emboli in a flow model and embolic signals in patients," Stroke, vol. 27, pp. 1548-1552, Sep. 1996.
26. R. Brucher, D. Russell, and H. Frenkenberger, "Automatic cerebral embolus detection using dual-gate Doppler," in New Trends in Cerebral Hemodynamics and Neurosonology. J. Klingelhofer, E. Bartels, and E. B. Ringelstein, Eds. Amsterdam: Elsevier Science, 1997, pp. 215-230.
27. D. Georgiadis, F. Uhlmann, A. Lindner, and S. Zierz, " Differentiation between true microembolic signals and artefacts using an arbitrary sample volume," Ultrasound Med. Biol, vol. 26, pp. 493-496, Mar. 2000.