Feature extraction for characterization of breast lesions in ultrasound echography and elastography

Journal of Computer Science

Volumn 6, Issue 1, 2010, Pages 67-74

  Selvan, Shirley ^a   Kavitha, M ^a   Shenbagadevi, S ^a   Suresh, S ^b  

^a ANNA UNIVERSITY   (India)

^b MediScan Systems Chennai   (India)

Author keywords

Breast lesion; Elastogram; Elastography; Strain; Ultrasound

Indexed keywords

EID: 77952524609     PISSN: 15493636     EISSN: None     Source Type: Journal    
DOI: 10.3844/jcssp.2010.67.74     Document Type: Article

References (17)

1. Elisa, E., Konofagou, Tim Harrigan and Jonathan Ophir, 2000. Shear strain estimation and lesion mobility assessment in elastography. Ultrasonics, 38: 400-404. DOI: 10.1016/S0041-624X (99)00125-0
2. Garra, B.S., E.I. Cespedes, J. Ophir, S.R. Spratt and R.A. Zuurbier et al., 1997. Elastography of breast lesions: Initial clinical results. Radiology, 202: 79-86.
3. Hall, T.J., Y. Zhu and C.S. Spalding, 2003. In vivo realtime freehand palpation imaging. Ultrasound Med. Biol., 29: 427-435. PMID: 12706194
4. Haralick, R., K. Shanmugam and I. Dinstein, 1973. Texture features for image classification. IEEE Trans. Syst. Man Cybernetics, 3: 610-621. DOI: 10.1109/TSMC.1973.4309314
5. Kavitha, M., S. Shirley Selvan, Shenbagadevi and S. Suresh, 2009. Automatic segmentation and feature extraction of breast lesions. Proceedings of the International Conference on Biology Medical Informatics and Signal Processing, Mar. 12-14, India, pp: 50.
6. Li, C., C. Xu, C. Gui and M. Fox, 2005. Level set evolution without re-initialization: A new variational formulation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, IEEE Xplore Press, San Diego, USA., pp: 430-436. DOI: 10.1109/CVPR.2005.213
7. Moon, W.K. and R.F. Chang, 2005. Solid breast masses: Classification with Computer-aided analysis of continuous US images obtained with probe compression. Radiology, 236: 458-464. PMID: 16040902
8. Ophir, J., I. Cespedes, H. Ponnekanti, Y. Yazdi and X. Li, 1991. Elastography: A quantitative method for imaging the elasticity of biological tissues. Ultrasound Imag., 13: 111-134. DOI: 10.1109/IEMBS.2007.4352227
9. Osher, S. and J.A. Sethian, 1988. Fronts propagating with curvature-dependent s peed: Algorithms based on Hamilton-Jacobi formulations. J. Computat. Phys, 79: 12-49.
10. Otsu, N., 1997. A threshold selection method form gray-level histograms. IEEE Trans. Syst. Man Cybern., 9: 62-66. http://www.citeulike.org/group/1650/article/1116982
11. Parkin, D.M., F. Bray, J. Ferlay and P. Pisani, 2005. Global cancer statistics. CA Cancer J. Clin., 55: 74-108. PMID: 15761078
12. Renbo, Xia and Weijun Liu et al., 2007. An optimal initialization technique for improving the segmentation performance of Chan-Vese model. Proceedings of the IEEE International Conference on Automation and Logistics, Aug. 18-21, IEEE Xplore Press, Jinan, pp: 411-415. DOI: 10.1109/ICPR.2006.713
13. Stavros, A.T., D. Thickman, C.L. Rapp, M.A. Dennis and S.H. Parker et al.,1995. Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions. Radiology, 196: 123-134. http://www.citeulike.org/article-posts/6345923
14. Steinberg, B.D., D.C. Sullivan and J.A. Birnbaum, 2001. Sonographic discrimination between benign and malignant breast lesions with the use of disparity processing. Acad. Radiol., 8: 704-712. PMID: 11508749
15. Wu Liu et al., 2007. Segmentation of elastographic images using a coarse-to-fine active contour model. Ultrasound Med. Biol., 32: 397-408. DOI: 10.1016/j.ultrasmedbio.2005.11.011
16. Yu, Y. and T.S. Acton, 2002. Speckle reducing anisotropic diffusion. IEEE Trans. Image Process., 11: 1260-1270. PMID: 18249696
17. Zunic, J. and P.L. Rosin, 2002. A convexity measurement for polygons. Proceedings of the British Machine Vision Conference, Sept. 2-5, Cardiff, UK., pp: 173-182. DOI: 10.1109/TPAMI.2004.19