Synthetic Aperture Technique Applied to Tissue Attenuation Imaging

• Autorzy: Klimonda Z. , Litniewski J. , Nowicki A.
• Języki publikacji: EN

Abstrakty

EN

The attenuating properties of biological tissue are of great importance in ultrasonic medical imaging. Investigations performed in vitro and in vivo showed the cor- relation between pathological changes in the tissue and variation of the attenuation coefficient. In order to estimate the attenuation we have used the downshift of mean frequency (fm) of the interrogating ultrasonic pulse propagating in the medium. To determine the fm along the propagation path we have applied the fm estimator (I/Q algorithm adopted from the Doppler mean frequency estimation technique). The mean-frequency shift trend was calculated using Single Spectrum Analysis. Next, the trends were converted into attenuation coefficient distributions and finally the parametric images were computed. The RF data were collected in simulations and experiments applying the synthetic aperture (SA) transmit-receiving scheme. In measurements the ultrasonic scanner enabling a full control of the transmission and reception was used. The resolution and accuracy of the method was verified using tissue mimicking phantom with uniform echogenicity but varying attenuation coefficient.

Słowa kluczowe

EN

tissue attenuation imaging; synthetic aperture; diagnosis enhancing

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2011
• Tom: Vol. 36, No. 4
• Strony: 927--935
• Opis fizyczny: Bibliogr. 16 poz., wykr.

Twórcy

autor

Klimonda Z.

autor

Litniewski J.

autor

Nowicki A.

• Department of Ultrasound Institute of Fundamental Technological Research Polish Academy of Sciences Pawińskiego 5B, 02-106 Warszawa, Poland,

Bibliografia

• 1. Bigelow T.A., McFarlin B.L., O'Brien W.D., Oelze M.L. (2008), In vivo ultrasonic attenuation slope estimates for detectiong cervical ripening in rats: Preliminary results, Journal of Acoustical Society of America, 123, 3, 1794-1800.
• 2. Curlander J.C., McDonough R.N. (1991), Synthetic aperture radar systems and signal processing, John Wiley&Sons, New York.
• 3. Hassani H. (2007), Singular Spectrum Analysis: Methodology and Comparison, Journal of Data Science, 5, 239-257.
• 4. Jensen J.A. (1996), Field: A Program for Simulating Ultrasound Systems, Paper presented at the 10th Nordic-Baltic Conference on Biomedical Imaging Published in Medical & Biological Engineering & Computing, pp. 351-353, 34, Supplement 1, Part 1.
• 5. Jensen J.A., Svendsen N.B. (1992), Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers, IEEE Trans. Ultrason., Ferroelec., Freq. Contr., 39, 262-267.
• 6. Klimonda Z., Litniewski J., Nowicki A. (2009), Spatial Resolution of Attenuation Imaging, Archives of Acoustics, 34, 4, 461-470.
• 7. Klimonda Z., Litniewski J., Nowicki A. (2010), Tissue attenuation estimation from backscattered ultrasound using spatial compounding technique - preliminary results, Archives of Acoustics, 35, 4, 643-651.
• 8. Laugier P., Berger G., Fink M., Perrin J. (1985), Specular reflector noise: effect and correction for in vivo attenuation estimation, Ultras. Imag. 7, 277-292.
• 9. Litniewski J. (2006), Assessment of trabecular bone structure deterioration by ultrasound [in Polish: Wykorzystanie fal ultradźwiękowych do oceny zmian struktury kości gąbczastej ], IPPT Reports, No. 2.
• 10. Litniewski J., Klimonda Z., Lewandowski M., Nowicki A., Szymańska E. (2009), Correcting for Focusing when Estimating Tissue Attenuation from Mean Frequency Shift, IEEE International Ultrasonics Symposium Proceedings, 2383-2385.
• 11. Lu Z.F., Zagzebski J., Lee F.T. (1999), Ultrasound Backscatter and Attenuation in Human Liver With Diffuse Disease, Ultrasound in Med. & Biol., 25, 7, 1047-1054.
• 12. McFarlin B.L., Bigelow T.A., Laybed Y., O'Brien W.D., Oelze M.L., Abramowicz J.S. (2010), Ultrasonic attenuation estimation of the pregnant cervix: a preliminary results, Ultrasound in Obstetrics and Gynecology, 36, 218-225.
• 13. Oosterveld B.J, Thijssen J.M., Hartman P.C., Romijn R.L., Rosenbusch G.J. (1991), Ultrasound attenuation and texture analysis of diffuse liver disease: methods and preliminary results, Phys. Med. Biol., 36, 8, 1039-1064,.
• 14. Saijo Y., Sasaki H. (1996), High Frequency Acoustic Properties of Tumor Tissue, [in:] Ultrasonic Tissue Characterization, Dunn F., Tanaka M., Ohtsuki S., Saijo Y. [Eds.], 217-230, Springer-Verlag Tokio, Hong-Kong.
• 15. Worthington A.E., Sherar M.D. (2001), Changes in Ultrasound Properties of Porcine Kidney Tissue During Heating, Ultrasound in Med. & Biol., 27, 5, 673-682.
• 16. Zderic V., Keshavarzi A., Andrew A.M., Vaezy S., Martin R.W. (2004), Attenuation of Porcine Tissues In Vivo After High Intensity Ultrasound Treatment, Ultrasound in Med. & Biol., 30, 1, 61-66.