Pulse elongation and deconvolution filtering for medical ultrasonic imaging

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 45, Issue 1, 1998, Pages 98-113

  Haider, Bruno ^a   Lewin, Peter A ^a   Thomenius, Kai E ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; INTERFERENCE SUPPRESSION; MEDICAL IMAGING; SIGNAL FILTERING AND PREDICTION; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS;

MINIMUM MEAN SQUARE ERRORS (MMSE); PULSE ELONGATION AND DECONVOLUTION (PED);

ULTRASONIC IMAGING;

EID: 0031675580     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/58.646915     Document Type: Article

References (19)

1. K. Thomenius and P. Lewin Ultrasonic bioeffects 1991: An update," Ultrasound Q., vol. 9, no. 2, pp. 111-137, 1991.
2. R. Apfel and C. Holland Gauging the likelihood of cavitation from short-pulse, low-duty cycle diagnostic ultrasound," Ultrason. Med. Bioi, vol. 17, no. 2, pp. 179-185, 1991.
3. S. Child, C. Hartman, L. Schery, and E. Carstensen Lung damage from exposure to pulsed ultrasound," Ultrason. Med. Bioi, vol. 16, no. 8, pp. 817-825, 1990.
4. F. E. Nathanson, Radar Design Principles. New York: McGraw Hill, 1969.
5. M. I. Skolnik, Introduction to Radar Systems. New York: McGraw Hill, 1980.
6. M. O'Donnell Coded excitation system for improving the penetration of real-time phased-array imaging systems," IEEE Trans. Ultrason., Ferroelect., Preq. Contr., vol. 39, pp. 341-351, May 1992.
7. P. Li, E. Ebbini, and M. O'Donnell A new filter design technique for coded excitation systems," IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 39, pp. 693-699, Nov. 1992.
8. D. A. Christensen, Ultrasonic Bioinstrumentation. New York: Wiley, 1988.
9. A. J. Berkhout Least-squares inverse filtering and wavelet deconvolution," Geophysics, vol. 42, pp. 1369-1383, Dec. 1977.
10. C. Liu, M. Fatemi, and R. Waag Digital processing for improvement of ultrasonic abdominal images," IEEE Trans. Med. Irnag., vol. MI-2, pp. 66-75, June 1983.
11. J. Jensen A model for the propagation and scattering of ultrasound in tissue," J. Acoust. Soc. Amer., vol. 89, pp. 182-190, Jan. 1991.
12. M. Fatemi and A. C. Kak Ultrasonic B-scan imaging: Theory of image formation and a technique for restoration," Ultrason. Imaging, pp. 1-47, Dec. 1980.
13. J. Biemond, R. L. Lagendijk, and R. M. Mersereau Iterative methods for image deblurring," Proc. IEEE, vol. 78, pp. 856883, May 1990.
14. G. Hayward and J. Lewis A theoretical approach for inverse filter design in ultrasonic applications," IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 36, pp. 356-364, May 1989.
15. O. Bolza, Lectures on the Calculus of Variations. New York: Chelsea, 1960.
16. M. Greenberg, Advanced Engineering Mathematics. Englewood Cliffs, NJ: Prentice-Hall, 1988.
17. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs. New York: Springer-Verlag, 1994.
18. M. Pollakowski, H. Ermert, L. von Bernus, and T. Schmeidl The optimum bandwidth of chirp signals in ultrasonic applications," Ultrasonics, vol. 31, no. 6, pp. 417-420, 1993.
19. D. E. Robinson and P. C. Knight Interpolation scan conversion in pulse echo ultrasound," Ultrason. Imaging, vol. 4, pp. 297310, 1982.