Subharmonic and ultraharmonic emissions for emboli detection and characterization

Ultrasound in Medicine and Biology

Volumn 29, Issue 3, 2003, Pages 417-425

  Palanchon, Peggy ^a,c   Bouakaz, A ^a,b   Klein, J ^a   De Jong, N ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b ROYAL NETHERLANDS ACADEMY OF ARTS AND SCIENCES   (Netherlands)

^c ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

Characterization; Detection; Emboli; Subharmonic; Ultraharmonic

Indexed keywords

CARDIOVASCULAR SURGERY; HARMONIC ANALYSIS; PARTICLES (PARTICULATE MATTER); PATIENT TREATMENT; PRESSURE EFFECTS;

ULTRAHARMONIC EMISSIONS;

ULTRASONIC MEASUREMENT;

ACOUSTICS; ANALYSIS; ARTICLE; DIAGNOSTIC PROCEDURE; EMBOLISM; EXPERIMENTATION; GAS EMBOLISM; PRIORITY JOURNAL;

EID: 0037361540     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-5629(02)00745-7     Document Type: Article

References (27)

1. Belcher E.O. Quantification of bubbles formed in animals and man during decompression. IEEE Trans Biomed Eng. 27:1980;330-338.
2. Christman C.L., Catron P.W., Flynn E.T., Weathersby P.K. In-vivo microbubble detection in decompression sickness using a second harmonic resonant bubble detector. Undersea Biomed Res. 13:1986;1-18.
3. Cullinane M., Wainwright R., Brown A., Monaghan M., Markus H.S. Asymptomatic embolization in subjects with atrial fibrillation not taking anticoagulants a prospective study . Stroke. 29:1998;1810-1815.
4. de Jong N., Hoff L. Ultrasound scattering properties of albunex microspheres. Ultrasonics. 31:1993;175-181.
5. Devuyst G., Darbellay G.A., Vesin J.M., et al. Automatic classification of HITS into artifacts or solid or gaseous emboli by a wavelet representation combined with dual gated TCD. Stroke. 32:2001;2803-2809.
6. Eatock B.C., Nishi R.Y. Numerical studies of the spectrum of low intensity ultrasound scattered by bubbles. J Acoust Soc Am. 77:1985;1692-1701.
7. Eller A., Flynn H.G. Generation of subharmonics of order one-half by bubbles in a sound field. J Acoust Soc Am. 46:1968;722-727.
8. Georgiadis D., Mackay T.G., Kelman A.W., et al. Differentiation between gaseous and formed embolic materials in-vivo Application in prosthetic heart valve patients . Stroke. 25:1994;1559-1563.
9. Grosset D.G., Georgiadis D., Kelman A.W., et al. Detection of microemboli by transcranial Doppler ultrasound. Tex Heart Inst J. 23:1998;289-292.
10. Hills B.A., Butler B.D. Size distribution of intravascular air emboli produced by decompression. Undersea Biomed Res. 8:1981;163-170.
11. Keller J.B., Miksis M. Bubble oscillations of large amplitude. J Acoust Soc Am. 68:1980;628-633.
12. Lauterborn W. Numerical investigation of nonlinear oscillations of gas bubbles in liquids. J Acoust Soc Am. 59:1976;283-293.
13. Leighton TG, Phelps AD, Ramble DG, Sharpe DA. Comparison of the ability of eight acoustic techniques to detect and size a single bubble. Ultrasonics 1996;34:661-667.
14. Lucchesi C., Darbellay G., Ponard J., et al. Solid/gas and size classification via inductive machine learning Results and whereabouts . Cerebrovasc Dis. 11:(Suppl. 3):2001;1-47.
15. Markus H.S., Loh A., Israel D., et al. Microscopic air embolism during cerebral angiography and strategies for its avoidance. Lancet. 341:1993;784-787.
16. Medwin H. Counting bubbles acoustically: A review. Ultrasonics 1977:15;7-13.
17. Mess WH, Titulaer BM, Ackerstaff RGA. Discrimination and characterization of emboli: Old and new aspect. In: Klingelhöfer J, Bertels B, Ringelstein, EB eds. New Trends Cerebral Hemodynamics and Neurosonology. Amsterdam: Elsevier, 1997.
18. Miller DL. Ultrasonic detection of resonant cavitation bubbles in a flow tube by their second harmonic emissions. Ultrasonics 1981;217-224.
19. Moehring M.A. Fundamental concepts regarding sizing and discrimination of air bubbles and red cell aggregates using pulse Doppler ultrasound. Echocardiography. 13:1996;567-571.
20. Neppiras E.A. Subharmonic and other low frequency emissions from bubbles in sound-irradiated liquids. J Acoust Soc Am. 46:1968;587-601.
21. Newhouse V.L., Shankar P.M. Bubble sizing measurements using the nonlinear mixing of two frequencies. J Acoust Soc Am. 75:1984;1473-1477.
22. Palanchon P., Bouakaz A., Van Blankestein J.H., et al. New technique for emboli detection and discrimination based on nonlinear characteristics of gas bubbles. Ultrasound Med Biol. 27:2001;801-808.
23. Prosperetti A. Nonlinear oscillations of gas bubbles in liquids Transient solutions and the connection between harmonic signal and cavitation . JASA. 57:1975;810-821.
24. Russell D., Brucher R. Discrimination of cerebral microemboli. Cerebrovasc Dis. 11:(Suppl. 3):2001;4.
25. Smith J.L., Evans D.H., Bell P.R.F., Naylor A.R. A comparison of four methods for distinguishing Doppler signals from gaseous and particulate emboli. Stroke. 29:1998;1133-1138.
26. Smith J.L., Evans D.H., Naylor A.R. Analysis of the frequency modulation present in Doppler ultrasound signals may allow differentiation between particulate and gaseous cerebral emboli. Ultrasound Med Biol. 23:1997;727-734.
27. Van Zuilen E.V., Moll F.L., Vermeulen F.E.E., et al. Detection of cerebral microemboli by means of transcranial Doppler monitoring before and after carotid endarterectomy. Stroke. 26:1995;210-213.