Shape symmetry analysis of breast tumors on ultrasound images

Computers in Biology and Medicine

Volumn 39, Issue 3, 2009, Pages 231-238

  Yang, Wei ^a   Zhang, Su ^a   Chen, Yazhu ^a   Li, Wenying ^a   Chen, Yaqing ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Breast ultrasound; Multiscale; Shape analysis; Symmetry

Indexed keywords

ARC LENGTHS; AREA UNDER THE ROC CURVES; BINARY MASK IMAGES; BREAST TUMORS; BREAST ULTRASOUND; DIAGNOSTIC INFORMATIONS; GAUSSIAN KERNELS; IMAGE DATUM; INTEGRAL INVARIANTS; MULTISCALE; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; REFLECTIVE SYMMETRIES; SCALE PARAMETERS; SHAPE ANALYSIS; SHAPE CHARACTERISTICS; SHAPE PARAMETERIZATION; SHAPE SYMMETRIES; SYMMETRY; ULTRASOUND IMAGES;

ACOUSTIC WAVES; FACE RECOGNITION; ONCOLOGY; TUMORS; ULTRASONICS;

ULTRASONIC IMAGING;

ADULT; AGED; ARTICLE; BENIGN TUMOR; BREAST TUMOR; CLINICAL EVALUATION; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; FEMALE; HUMAN; KERNEL METHOD; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MEASUREMENT; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; REFLECTIVE SYMMETRY MEASURE; TUMOR VOLUME; ULTRASOUND;

ADOLESCENT; ADULT; AGED; BREAST; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MIDDLE AGED; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; ROC CURVE; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY; ULTRASONOGRAPHY, MAMMARY;

EID: 60649121504     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.12.007     Document Type: Article

References (25)

1. Stavros A.T., Thickman D., Rapp C.L., Dennis M.A., Parker S.H., and Sisney G.A. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology 26 1 (1995) 123-134
2. Skaane P., and Engedal K. Analysis of sonographic features in the differentiation of fibroadenoma and invasive ductal carcinoma. Am. J. Roentgenol 170 (1998) 109-114
3. Chou Y.H., Tiu C.M., Hung G.S., Wu S.C., Chang T.Y., and Chiang H.K. Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis. Ultrasound Med. Biol. 27 (2001) 1493-1498
4. Sivaramakrishnaa R., Powella K.A., Lieberb M.L., Chilcotec W.A., and Shekhara R. Texture analysis of lesions in breast ultrasound images. Comput. Med. Imaging Graph. 26 (2002) 303-307
5. Horsch K., Giger M.L., Venta L.A., and Vyborny C.J. Computerized diagnosis of breast lesions on ultrasound. Med. Phys. 29 (2002) 157-164
6. Chen C.M., Chou Y.H., Han K.C., Hung G.S., Tiu C.M., Chiou H.J., and Chiou S.Y. Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks. Radiology 226 (2003) 504-514
7. Piliouras N., Kalatzis I., Dimitropoulos N., and Cavouras D. Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound. Comput. Med. Imaging Graph. 28 5 (2004) 247-255
8. Kim K.G., Cho S.Y., Min S.J., Kim J.H., Min B.G., and Bae K.T. Computerized scheme for assessing ultrasonographic features of breast masses. Acad. Radiol. 12 (2005) 58-66
9. Yang W., Zhang S., Li W.Y., Chen Y.Q., and Chen Y.Z. Measuring shape complexity of breast tumors on ultrasound images. SPIE Medical Imaging 2008, Proceedings of SPIE 6920 (2008) 69200J
10. Blohmer J.U., Schmalisch G., Kürten A., Chaoui R., and Lichtenegger W. Relevance of sonographic criteria for differential diagnosis of mammary tumours. Eur. J. Ultrasound 6 1 (1997) 35-41
11. Ng V., Fung B., and Lee T. Determining the asymmetry of skin lesion with fuzzy borders. Comput. Biol. Med. 35 2 (2005) 103-120
12. Zabrodsky H., Peleg S., and Avnir D. Symmetry as a continuous feature. IEEE Trans. Pattern Anal. Mach. Intell. 17 12 (1995) 1154-1166
13. Sheynin S., Tuzikov A., and Volgin D. Computation of symmetry measures for polygonal shapes. Lecture Notes in Computer Science 1689 (1999) 183-190
14. Zavidovique B., and Gesù V.D. The S-kernel: a measure of symmetry of objects. Pattern Recog. 40 3 (2007) 839-852
15. Manay S., Cremers D., Hong B.W., Yezzi A., and Soatto S. Integral invariants for shape matching. IEEE Trans. Pattern Anal. Mach. Intell. 28 10 (2006) 1602-1618
16. B.W. Hong, E. Prados, L. Vese, S. Soatto, Shape representation based on integral kernels: application to image matching and segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2006 (CVPR'06), pp. 833-840.
17. Z.M. Li, K.P. Hou, H. Li, Continuous symmetry measure of image, in: Proceedings of the IEEE International Conference on Information Acquisition, 2006, pp. 824-828.
18. Bimbo A.D., and Pala P. Shape indexing by multi-scale representation. Image Vision Comput. 17 (1999) 245-261
19. Zhang D.S., and Lu G.J. Review of shape representation and description techniques. Pattern Recog. 37 (2004) 1-19
20. Sate J., and Cipolla R. Affine integral invariants for extracting symmetry axes. Image Vision Comput. 15 (1997) 627-635
21. Zhang S., Yang W., Lu H.T., Chen Y.Z., Li W.Y., and Chen Y.Q. Automatic feature extraction and analysis on breast ultrasound images. Comm. Comput. Info. Sci. 2 (2007) 957-963
22. S.X. Yu, J. Shi, Multiclass spectral clustering, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV'2003), pp. 313-319.
23. Barrett W.A., and Mortensen E.N. Interactive live-wire boundary extraction. Med. Image Anal. 4 1 (1997) 331-341
24. A. Chodorowski, M. Ulf, L. Morgan, H. Ghassan, Color lesion boundary detection using live wire, in: Proceedings of SPIE Medical Imaging 2005, vol. 5747, 2005, pp. 1589-1596.
25. Fawcett T. An introduction to ROC analysis. Pattern Recog. Lett. 27 8 (2006) 861-874