Ultrasound Speckle Reduction

after Coded Excitation and Pulse Compression


[1]  S. M. Gehlbach and F. G. Sommer, “Frequency diversity speckle processing,” Ultrason. Imaging, vol. 9, pp. 92-105, Apr. 1987.

[2]  P. A. Magnin, O. T. von Ramm, and F. L. Thurstone, “Frequency compounding for speckle contrast reduction in phased array images,” Ultrason. Imaging, vol. 4, pp. 267-281, Jul. 1982.

[3]  S. K. Jespersen, J. E. Wilhjelm, and H. Sillensen, “Multi-angle compound imaging,” Ultrason. Imaging, vol. 20, no. 2, pp. 81-102, Apr. 1998.

[4]  A. R. Groves and R. N. Rohling, “Two-dimensional spatial compounding with warping,” Ultrasound Med. Biol., vol. 30, no. 7, pp. 929-942, Jul. 2004.

[5]  J. S. Lee, “Digital image enhancement and noise filtering by using local statistics,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAM1-2, 1980.

[6]  D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, “Adaptive restoration of images with speckle,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 373–383, 1987.

[7]  Y. Yu and S. T. Acton, “Speckle reducing anisotropic diffusion,” IEEE Trans. Image Process., vol. 11, no. 11, pp. 1260-1270, Nov. 2002.

[8]  M. L. Oelze,  Bandwidth and resolution enhancement through pulse compression,  IEEE Trans. Ultrason., Ferroelectr. Freq. Contr., vol. 54, no. 4, p. 770, Apr 2007.

[9]  J. R. Sanchez and M. L. Oelze, “An ultrasonic imaging speckle-suppression and contrast enhancement technique by means of frequency compounding and coded excitation,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 56, pp. 1327-1339, Jul. 2009.

[10]  J. R. Sanchez, “Improving ultrasound imaging using novel coded excitation techniques,” Ph.D. dissertation, University of Illinois at Urbana-Champaign, Urbana, IL, USA, 2010.

[11]  M. O. Ahmad and D. Sundararajan, “A fast algorithm for two-dimensional median filtering,” IEEE Trans. Circuits and Syst., vol. CAS-34, no. 11, pp. 1364-1374,  Nov. 1987.

[12]  C. P. Loizou, C. Christodoulou, C. S. Pattichis, R. Istepanian, M. Pantziaris, and A. Nicolaides.  “Speckle reduction in ultrasound images of atherosclerotic carotid plaque,” 14th International Conference on Digital Signal Processing, 2002, vol. 2, pp. 525-528, 2002.

[13]  L. J. Busse, T. R. Crimmins, and J. R. Fienup, “A model based approach to improve the performance of the geometric filtering speckle reduction algorithm,” IEEE Ultrason. Symposium, pp. 1353-1356, 1995.

[14]  M. S. Patterson and F. S. Foster, “The improvement and quantitative assessment for B-Mode images produced by an annular array / cone hybrid,”  Ultrason. Imag., vol. 5, no. 3, pp. 195-213, Jul. 1983.

[15]  D. Sakrison, “On the role of observer and a distortion measure in image transmission,” IEEE Trans. Commun., vol.25, pp. 1251-1267, Nov. 1977.

[16]  Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, “Image quality assessment:  From error measurement to structural similarity,” IEEE Trans. Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.

[17]  Z. Wang and A. Bovik, “A universal quality index,” IEEE Signal Processing Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002.

[18]  J.A. Jensen, “A model for the propagation and scattering of ultrasound tissue,” J. Acoust. Soc. Am., vol. 89, pp. 182-190, Jan. 1991.

[19]  W. Wu, S.T. Acton, J. Lack, “Real-time processing of ultrasound images with speckle reducing anisotropic diffusion,” ACSSC ’06, Fortieth Asilomar Conference on Signals, Systems and Computers, pp.1458-1464, 2006.


All referenced papers