Ultrasound-specific segmentation via decorrelation and statistical region-based active contours

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2006, Pages 45-52

  Slabaugh, Greg ^a   Unal, Gozde ^a   Tong, Fang ^a   Wels, Michael ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOURS; SPECKLE NOISE; ULTRASOUND SPECIFIC SEGMENTATION; X-RAY SEGMENTATION;

GAUSSIAN NOISE (ELECTRONIC); IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; PROBLEM SOLVING; STATISTICAL MECHANICS; ULTRASONICS; X RAY ANALYSIS;

IMAGE SEGMENTATION;

EID: 33845576466     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.318     Document Type: Conference Paper

References (20)

1. I. Ayed, A. Mitiche, and Z. Belhadj. Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images. IEEE Trans. on Putt. Anal. and Mach. Intel., 27(5):793-800, 2005.
2. B. Baillard and C. Barillot. Robust 3D Segmentation of Anatomical Structures with Level Sets. In Proc. MICCAI, pages 236-245, 2000.
3. D. Boukerroui, O. Basset, A. Baskurt, and G. Gimenez. A Multiparametric and Multiresolution Segmentation Algorithm of 3-D Ultrasonic Data. IEEE Trans. on Ultrasonics, Ferroelectrics, and Freq. Control, 48(1):64-77, 2001.
4. T. Chan and L. Vese. Active Contours Without Edges. IEEE Trans. on Image Processing, 10(2):266-277, 2001.
5. C. Chesnaud, P. Réfrégier, and V. Boulet. Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(11):1145-1157, 1999.
6. I. Daubechies. Ten Lectures on Wavelets. In CBMS-NSF Regional Conf. Series in App. Math., volume 91, 1992.
7. D. L. Donoho. De-noising by Soft-Thresholding. IEEE Trans. on Information Theory, 41(3):613-627, 1995.
8. V. Dutt and J. Greenleaf. Statistics of the Log-Compressed Envelope. Journal of the Acoustical Society of America, 99(6):3817-3825, 1996.
9. T. Eltoft. Modeling the amplitude statistics of ultrasonic images. IEEE Trans. on Med. Img., 25(2):229-240, 2006.
10. M. M. Fernández and C. Alberola-López. Contour Detection of Human Kidneys from Ultrasound Images using Markov Random Fields and Active Contours. Medical Image Analysis, 9(1):1-23, 2005.
11. J. Goodman. Speckle Phenomena: Theory and Applications. Work in Progress, first edition, 2005.
12. D. Iraca, L. Landini, and L. Verrazzani. Power Spectrum Equalization for Ultrasonic Image Restoration. IEEE Trans. on Ultrasonics, Ferroelectrics, and Frequency Control, 36(2):216-222, 1989.
13. J. Kim, J. W. Fisher, A. Yezzi, M. Cetin, and A. Willsky. A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution. IEEE Trans. on Image Processing, 14(10):1486-1502, 2005.
14. N. Lin, W. Yu, and J. Duncan. Combinative Multi-Scale Level Set Framework for Echocardiographic Image Segmentation. Medical Image Analysis, 7(4):529-537, 2003.
15. S. Mallat. A Wavelet Tour of Signal Processing. Academic Press, New York, 1998.
16. O. Michailovich and D. Adam. Robust Estimation of Ultrasound Pulses Using Outlier-Resistant De-Noising. IEEE Trans. on Medical Imaging, 22(3):368-392, 2003.
17. O. Michailovich and A. Tannenbaum. Despeckling of Medical Ultrasound Images. IEEE Trans. on Ultrasonic Ferroelectrics and Frequency Control, 53(1):64-78, 2006.
18. A. Sarti, C. Corsi, E. Mazzini, and C. Lamberti. Maximum Likelihood Segmentation of Ultrasound Images with Rayleigh Distribution. IEEE Trans. on Ultrasonics, Ferroelectrics, and Freq. Control, 52(6):947-960, 2005.
19. G. Unal, A. Yezzi, and H. Krim. Information-theoretic active polygons for unsupervised texture segmentation. The Intl. Journal of Computer Vision, 62(3):199-220, 2005.
20. R. Wagner, S. 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.