Adaptive sparse representation beamformer for high-frame-rate ultrasound imaging instrument

IEEE Transactions on Instrumentation and Measurement

Volumn 61, Issue 5, 2012, Pages 1323-1333

  Shen, Minfen ^a,b   Zhang, Qiong ^a,b   Li, Delai ^c   Yang, Jinyao ^c   Li, Bin ^c  

^a SHANTOU UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c Shantou Institute of Ultrasonic Instruments Co Ltd   (China)

Author keywords

Adaptive beamforming; high resolution; plane wave (PW); sparse representation; ultrasound imaging

Indexed keywords

ADAPTIVE BEAMFORMING; HIGH RESOLUTION; PLANE WAVE; SPARSE REPRESENTATION; ULTRASOUND IMAGING;

ADDITIVE NOISE; ALGORITHMS; ELASTIC WAVES; IMAGE RESOLUTION; IMAGING SYSTEMS; ULTRASONIC IMAGING;

BEAMFORMING;

EID: 84862782696     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2011.2181778     Document Type: Conference Paper

References (28)

1. J. A. Jensen and N. B. Svendsen, "Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 39, no. 2, pp. 262-267, Mar. 1992.
2. J. A. Jensen, "Field: A program for simulating ultrasound systems," in Proc. 10th Nordic-Baltic Conf. Biomed. Imag., 1996, vol. 4, no. Suppl. 1, pp. 351-353.
3. K. W. Hollman, K. W. Rigby, and M. O'Donnell, "Coherence factor of speckle from a multi-row probe," in Proc. IEEE Symp. Ultrasonics, 1999, pp. 1257-1260.
4. P.-C. Li and M.-L. Li, "Adaptive imaging using the generalized coherence factor," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 50, no. 2, pp. 128-141, Feb. 2003.
5. C. H. Seo and J. T. Yen, "Sidelobe suppression in ultrasound imaging using dual apodization with cross-correlation," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 55, no. 10, pp. 2198-2210, Oct. 2008.
6. J. Camacho, M. Parrilla, and C. Fritsch, "Phase coherence imaging," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 56, no. 5, pp. 958-974, May 2009.
7. J. Capon, "High-resolution frequency-wavenumber spectrum analysis," Proc. IEEE, vol. 57, no. 8, pp. 1408-1418, Aug. 1969.
8. T. J. Shan and T. Kailath, "Adaptive beamforming for coherent signals and interferences," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP- 33, no. 3, pp. 527-536, Jun. 1985.
9. J. F. Synnevag, C. I. C. Nilsen, and S. Holm, "Speckle statistics in adaptive beamforming," in Proc. IEEE Symp. Ultrason., 2007, pp. 1545-1548.
10. J. Li and P. Stoica, Robust Adaptive Beamforming. New York: Wiley, 2006.
11. I. K. Holfort, F. Gran, and J. A. Jensen, "Broadband minimum variance beamforming for ultrasound imaging," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 56, no. 2, pp. 314-325, Feb. 2009.
12. J. F. Synnevag, A. Austeng, and S. Holm, "Adaptive beamforming applied to medical ultrasound imaging," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 54, no. 8, pp. 1606-1613, Aug. 2007.
13. B. Yang and S. Li, "Multifocus image fusion and restoration with sparse representation," IEEE Trans. Instrum. Meas., vol. 59, no. 4, pp. 884-892, Apr. 2010.
14. F. Soldovieri, R. Solimene, L. Lo Monte, M. Bavusi, and A. Loperte, "Sparse reconstruction from GPR data with applications to rebel detection," IEEE Trans. Instrum. Meas., vol. 60, no. 3, pp. 1070-1079, Mar. 2011.
15. J. J. Fuchs, "On the application of the global matched filter to DOA estimation with uniform circular arrays," IEEE Trans. Signal Process., vol. 49, no. 4, pp. 702-709, Apr. 2001.
16. M. Shen, Q. Zhang, D. Li, and J. Yang, "Beamspace sparse representation weighting beamforming for plane wave emission ultrasound instrument," in Proc. IEEE I2MTC, Hangzhou, China, May 10-12, 2011, pp. 737-741.
17. J.-B. Huang and M.-H. Yang, "Fast sparse representation with prototypes," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., 2010, pp. 3618-3625.
18. D. L. Donoho, "For most large underdetermined systems of linear equations, the minimal 1-norm solution is also the sparsest solution," Commun. Pure Appl. Math., vol. 59, no. 6, pp. 907-934, Jul. 2006.
19. S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM, vol. 43, no. 1, pp. 129-159, 2001.
20. D. L. Donoho, M. Elad, and V. Temlyakov, "Stable recovery of sparse overcomplete representations in the presense of noise," IEEE Trans. Inf. Theory, vol. 52, no. 1, pp. 6-18, Jan. 2006.
21. J. A. Tropp, "Just relax: Convex programming methods for identifying sparse signals in noise," IEEE Trans. Inf. Theory, vol. 52, no. 3, pp. 1030-1051, Mar. 2006.
22. D. Malioutov, M. Cetin, and A. S. Willsky, "A sparse signal reconstruction perspective for source localization with sensor arrays," IEEE Trans. Signal Process., vol. 53, no. 8, pp. 3010-3022, Aug. 2005.
23. K. Raum and W. D. O'Brien, Jr., "Pulse-echo field distribution measurement technique for high-frequency ultrasound sources," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 44, no. 4, pp. 810-815, Jul. 1997.
24. E. Candes and T. Tao, "The Dantzig selector: Statistical estimation when p is much larger than n," Ann. Stat., vol. 35, no. 6, pp. 2358-2364, Dec. 2007.
25. J. Zheng, M. Kaveh, and H. Tsuji, "Sparse spectral fitting for direction of arrival and power estimation," in Proc. IEEESP 15th Workshop Stat. Signal Process., 2009, pp. 429-432.
26. M. Grant and S. Boyd, CVX: Matlab Software for Disciplined Convex Programming (Web Page and Software), 2008. [Online]. Available: http://stanford.edu/boyd/cvx
27. M. O'Donnell and S. W. Flax, "Phase-aberration correction using signals from point reflectors and diffuse scatterers: Measurements," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 35, no. 6, pp. 768-774, Nov. 1988.
28. S. Krishnan, K. W. Righy, and M. O'Donnell, "Improved estimation of phase aberration profile," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 44, no. 3, pp. 701-713, May 1997.