A disk expansion segmentation method for ultrasonic breast lesions

Pattern Recognition

Volumn 42, Issue 5, 2009, Pages 596-606

  Yeh, Chih Kuang ^a   Chen, Yung Sheng ^b   Fan, Wei Che ^b   Liao, Yin Yin ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Computer aided diagnosis (CAD); Disk expansion method; Lesion contour; Speckle noise

Indexed keywords

DISKS (STRUCTURAL COMPONENTS); IMAGE ENHANCEMENT; IMAGE PROCESSING; SPECKLE; ULTRASONIC IMAGING; ULTRASONICS;

ACTIVE CONTOUR MODELS; BREAST IMAGES; BREAST LESIONS; COMPUTER-AIDED DIAGNOSIS (CAD); DISK EXPANSION METHOD; IN VITRO; LESION CONTOUR; PHANTOM IMAGES; SEGMENTATION METHODS; SIMULATION RESULTS; SINGLE IMAGES; SPECKLE NOISE; STRONG CORRELATIONS; TRUE POSITIVES; ULTRASONIC BREAST IMAGES; ULTRASOUND IMAGES;

COMPUTER AIDED DIAGNOSIS;

EID: 58249084012     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.09.004     Document Type: Article

References (25)

1. Magnin P.A., von Ramm O.T., and Thurstone F.L. Frequency compounding for speckle contrast reduction in phased array images. Ultrason. Imaging 4 (1982) 267-281
2. Loupas T., McDicken W.N., and Allan P.L. An adaptive weighted median filter for speckle suppression in medical ultrasonic images. IEEE Trans. Circuits Syst. 36 (1989) 129-135
3. Karamra M., Kutay M.A., and Bozdagi G. An adaptive speckle suppression filter for medical ultrasonic imaging. IEEE Trans. Med. Imaging 14 (1995) 283-292
4. Li P.C., and Chen M.J. Strain compounding: a new approach for speckle reduction. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 49 (2002) 39-46
5. Zong X., Laine A.F., and Geiser E.A. Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing. IEEE Trans. Med. Imaging 17 (1998) 532-540
6. Hao X., Gao S., and Gao X. A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing. IEEE Trans. Med. Imaging 18 (1999) 787-794
7. Chen C.M., Chou Y.H., Han K.C., Hung G.S., Tiu C.M., Chiou H.J., and Chiou S.Y. Computer-aided diagnosis of breast lesions on sonogram using nearly setting-independent features and artificial neural networks. Radiology 226 (2003) 505-514
8. Chen D.R., Chang R.F., and Huang Y.L. Breast cancer diagnosis using self-organizing map for sonography. Ultrasound Med. Biol. 26 (2000) 405-411
9. 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
10. Thomas J.G., Peters R.A., and Jeanty P. Automatic segmentation of ultrasound images using morphological operators. IEEE Trans. Med. Imaging 10 (1991) 180-186
11. Davatzikos C., and Bryan R.N. Using a deformable surface model to obtain a shape representation of the cortex. IEEE Trans. Med. Imaging 15 (1996) 785-795
12. Muzzolini R., Yang Y.H., and Pierson R. Multiresolution texture segmentation with application to diagnostic ultrasound images. IEEE Trans. Med. Imaging 12 (1993) 108-123
13. Madabhushi A., and Metaxas D.N. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions. IEEE Trans. Med. Imaging 22 (2003) 155-169
14. Xiao G., Brady M., Noble J.A., and Zhang Y. Segmentation of ultrasound B-mode images with intensity inhomogeneity correction. IEEE Trans. Med. Imaging 21 (2002) 48-57
15. Kass M., Witkin A., and Terzopoulos D. Snakes: active contour models. Int. J. Comput. Vision 1 (1987) 321-331
16. Chalana V., Linker D.T., Haynor D.R., and Kim Y. A multiple active contour model for cardiac boundary detection on echocardiographic sequences. IEEE Trans. Med. Imaging 15 (1996) 290-298
17. Xu C., and Prince J.L. Snakes, shapes, and gradient vector flow. IEEE Trans. Image Process. 7 (1998) 359-369
18. Maroulis D.E., Savelonas M.A., Iakovidis D.K., Karkanis S.A., and Dimitropoulos N. Variable background active contour model for computer-aided delineation of nodules in thyroid ultrasound images. IEEE Trans. Inform. Technol. Biomed. 11 (2007) 537-543
19. Savelonas M.A., Iakovidis D.K., and Maroulis D. LBP-guided active contours. Pattern Recognition Lett. 29 (2008) 1404-1415
20. Chen Y.S., and Lin T.D. An iterative approach to removing the closure noise using disk expansion method. IEEE Signal Process. Lett. 2 (1995) 105-107
21. Chen Y.S., and Lin T.D. An investigation into the closure process in human visual perception for line patterns. Pattern Recognition 31 (1998) 1-13
22. Chen Y.S., and Chen B.T. Measuring of a three-dimensional surface by use of a spatial distance computation. Appl. Opt. 42 (2003) 1958-1972
23. Li P.C., and Wu C.L. Strain compounding: spatial resolution and performance on human images. Ultrasound Med. Biol. 27 (2001) 1535-1541
24. Huang S.W., and Li P.C. Computed tomography sound velocity reconstruction using incomplete data. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 51 (2004) 329-342
25. Lemor R.M., Weber P.K., Fonfara P.K., Guenther C., Welsch H.J., and Hoss M.L. A new combined open research platform for ultrasound radio frequency signal processing. Proc. IEEE Ultrason. Symp. (2003) 33-37