Superresolution spatial compounding techniques, with application to 3D breast ultrasound imaging

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6147, Issue , 2006, Pages

  Soler, Pau ^a,b   Delso, Caspar ^a   Villain, Nicolas ^a   Angelini, Elsa ^b   Bloch, Isabelle ^b  

^a PHILIPS HEALTHCARE   (United States)

^b INSTITUT TELECOM   (France)

Author keywords

3D imaging; Breast imaging; Multichannel deconvolution; Spatial compounding; Ultrasound; Wavelet

Indexed keywords

IMAGING TECHNIQUES; OPTICAL RESOLVING POWER; THREE DIMENSIONAL; TISSUE; ULTRASONIC IMAGING; WAVELET TRANSFORMS;

BREAST IMAGING; MULTICHANNEL DECONVOLUTION; MULTIVIEW DECONVOLUTION; SPATIAL COMPOUNDING;

MEDICAL IMAGING;

EID: 33745329306     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.653455     Document Type: Conference Paper

References (32)

1. K. Abd-Elmoniem, A.-B. Youssef, and Y. Kadah. Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion. IEEE Transactions on Biomedical Engineering, 49(9):997-1014, Sept. 2002.
2. E. D. Angelini, A. Laine, S. Takuma, J. Holmes, and S. Homma. Lv volume quantification via spatiotemporal analysis of real-time 3d echocardiography. IEEE Transactions on Medical Imaging, 20:457-469, 2001.
3. M. J. Black, G. Sapiro, D. H. Marimont, and D. Heeger. Robust anisotropic diffusion. IEEE Transactions on Image Processing, 7(3):421-432, 1998.
4. P. Burt. A gradient pyramid basis for pattern selective image fusion. In Proc. of the Society for Information Display conference, 1992.
5. B. S. Carmo, R. W. Prager, A. H. Gee, and L. H. Berman. Speckle detection for 3d ultrasound. Ultrasonics, 40(1-8):129-132, May 2002.
6. G. Cincotti, G. Loi, and M. Pappalardo. Frequency decomposition and compounding of ultrasound medical images with wavelet packets. IEEE Transactions on Medical Imaging, 20(8):764-771, August 2001.
7. D. L. Donoho. De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41(3):613-627, 1995.
8. Q. Duan, E. D. Angelini, and A. Laine. Assessment of fast anisotropic diffusion and scan conversion of real-time three-dimensional spherical ultrasound data for visual quality and spatial accuracy. In SPIE International Symposium on Medical Imaging, volume 5370, pages 526-537, 2004.
9. V. Dutt and J. Greenleaf. Adaptive speckle reduction filter for log-compressed b-scan images. IEEE Transactions on Medical Imaging, 15(6):802-813, Dec. 1996.
10. M. Evans, A.N.and Nixon. Temporal methods for ultrasound speckle reduction. In IEE Seminar on Texture analysis in radar and sonar, volume Iss., pages 1-6, 1993.
11. V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. Pattern Anal. Machine Intell., 4(2):157-165, 1982.
12. H. Guo, J. Odegard, M. Lang, R. Gopinath, I. Selesnick, and C. Burrus. Wavelet based speckle reduction with application to sar based atd/r. In IEEE International Conference Image Processing, volume 1, pages 75-79, November 1994.
13. S. Gupta, R. C. Chauhan, and S. C. Sexana. Wavelet-based statistical approach for speckle reduction in medical ultrasound images. Med. Biol. Eng. Comput., 42:189-192, August 2001.
14. I. Gurelli and N. L. Chrysostomos. Evam: an eigenvector-based algorithm for multichannel blind deconvolution of input colored signals. IEEE Transactions on Signal Processing, 43(1):134-149, 1995.
15. X. Hao, S. Gao, and X. Gao. A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing. IEEE Transactions on Medical Imaging, 18(9):787-794, September 1999.
16. M. Izzetoglu, B. Onaral, and N. Bilgtay. Wavelet domain least squares deconvolution for ultrasonic backscattered signals. In Proceedings of the 22th Annual EMBS International Conference, pages 321-477, Chicago, USA, July 2000.
17. C. Jansen, M. Arigovindan, M. Sühling, S. Marsch, M. Unser, and P. Hunziker. Multidimensional, multistage wavelet footprints: A new tool for image segmentation and feature extraction in medical ultrasound. In M. Sonka and J. Fitzpatrick, editors, Progress in Biomedical Optics and Imaging, vol. 4, no. 23, volume 5032 of Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing (MI'03), pages 762-767, San Diego CA, USA, February 17-20, 2003. Part II.
18. J. Jensen. Field: A program for simulating ultrasound systems. In 10th Nordic-Baltic Conference on Biomedical Imaging Published in Medical & Biological Engineering & Computing, volume 34, pages 351-353, 1996.
19. C. Kao, X. Pan, E. Hiller, and C. Chen. A bayesian approach for edge detection in medical ultrasound images. IEEE Transactions on Nuclear Science, 45(6):3089-3096, 1998.
20. K. Krissian, K. Vosburgh, R. Kikinis, and C.-F. Westin. Anisotropic diffusion of ultrasound constrained by speckle noise model. Technical Report 0004, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Laboratory of Mathematics in Imaging, October 2004. ISSN.
21. J. F. Krücker, G. L. LeCarpentier, J. B. Fowlkes, and P. L. Carson. Rapid elastic image registration for 3-d ultrasound. IEEE Transactions on Medical Imaging, 21:1384-1394, November 2002.
22. J. S. Lee. Digital image enhancement and noise filtering by using local statistics. IEEE Trans. Pattern Anal. Machine Intell., PAM1(2), 1980.
23. D. F. Leotta and R. W. Martin. Three-dimensional spatial compounding of ultrasound scans with incidence angle weighting. In 1999 IEEE Ultrasonics Symposium, pages 1605-1608, 1999.
24. H. Li, B. S. Manjunath, and S. K. Mitra. Multi-sensor image fusion using the wavelet transform. In Proc. of the IEEE International Conference Image Processing, volume 1, pages 51-55, November 1994.
25. S. Mallat. A Wavelet Tour of Signal Processing. AP Professional, London, 1997.
26. M. O'Donnell and S. D. Silverstein. Optimum displacement for compound image generation in medical ultrasound. IEEE Transactions on Ultrasonics, Ferroelectrics, and frequency Control, 35:470-476, 1988.
27. G. Piella. A general framework for multiresolution image fusion: from pixels to regions. Information Fusion, 9:259-280, December 2003.
28. S. W. Smith, R. Wagner, J. M. Sandrik, and H. Lopez. Low contrast detectability and contrast/detail analysis in medical ultrasound. IEEE Transactions on Sonics and Ultrasonics, 30(3):164-173, 1983.
29. P. Soler, N. Villain, I. Bloch, and E. Angelini. Volume reconstruction of breast echography from anisotropically degradated scans. In Proceedings of the IASTED International Conference on Biomedical Engineering, volume 9, pages 349-355, February 2005.
30. G. Steidl, J. Weickert, T. Brox, P. Mrzek, and M. Welk. On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and sides. SIAM Journal on Numerical Analysis, 42(2):686-713, 2004.
31. T. Taxt and J. Strand. Two-dimensional noise-robust blind deconvolution of ultrasound images. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 48(4):861-866, 2001.
32. R. Wagner, S. W. Smith, J. M. Sandrik, and H. Lopez. Statistics of speckle in ultrasound b-scans. IEEE Transactions on Sonics and Ultrasonics, 30(3):156-163, 1983.