Cell-Based Two-Region Competition Algorithm with a Map Framework for Boundary Delineation of a Series of 2D Ultrasound Images

Ultrasound in Medicine and Biology

Volumn 33, Issue 10, 2007, Pages 1640-1650

  Cheng, Jie Zhi ^a   Chen, Chung Ming ^a   Chou, Yi Hong ^b   Chen, Curtis S K ^c   Tiu, Chui Mei ^b   Chen, Kuei Wu ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

^c School of Dentistry University   (United States)

Author keywords

Boundary delineation; Cell based deformation; EM algorithm; Image series; Maximum a posteriori; Two region competition

Indexed keywords

CYTOLOGY; IMAGE COMPRESSION; TWO DIMENSIONAL; ULTRASONIC IMAGING;

BOUNDARY DELINEATION; CELL-BASED DEFORMATION; EM ALGORITHMS; IMAGE SERIES; MAXIMUM A POSTERIORI; PEARSON'S CORRELATIONS; TWO-REGION COMPETITION;

ALGORITHMS;

ALGORITHM; ARTICLE; BREAST CARCINOMA; BREAST FIBROADENOMA; COMPRESSION; IMAGE ANALYSIS; PRIORITY JOURNAL; ULTRASOUND; VALIDATION PROCESS;

ALGORITHMS; BREAST NEOPLASMS; CARCINOMA; FEMALE; FIBROADENOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; ULTRASONOGRAPHY, MAMMARY;

EID: 34548854774     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2007.04.019     Document Type: Article

References (24)

1. Bosch J.G., Mitchell S.C., Lelieveldt B.P.F., Nijland F., Kamp O., Sonka M., and Reiber J.H.C. Automatic asegmentation of cchocardiographic sequences by active appearance motion models. IEEE Trans Med Imaging 21 11 (2002) 1374-1383
2. Chan T.F., and Vese L.A. Active contours without edges. IEEE Trans Image Proc 10 2 (2001) 266-277
3. Chang R.F., Wu W.J., Moon W.K., and Chen D.R. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Res Treatment 89 (2005) 179-185
4. Chen C.M., Chou Y.H., Chen C.S.K., Cheng J.Z., Ou Y.F., Yeh F.C., and Chen K.W. Cell-competition algorithm: A new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images. Ultrasound Med Biol 31 12 (2005) 1647-1664
5. Chen C.M., Cheng J.Z., and Chou Y.H. ACCOMP-Augmented cell competition algorithm for delineating boundaries of objects of interested in sonography (2006), National Taiwan University, Taiwan. http://www.csie.ntu.edu.tw/~b7506034/TR.pdf Technical Report: IBME-TR-20061101, http://www.csie.ntu.edu.tw/∼b7506034/TR.pdf
6. Chen D.R., Chang R.F., Wu W.J., Moon W.K., and Wu W.L. 3D Breast ultrasound segmentation using active contour model. Ultrasound Med Biol 29 7 (2003) 1017-1026
7. Daniel W.W. Applied nonparametric statistics (1978), Houghton Mifflin, Boston, MA
8. Dempster A.P., Laird N.M., and Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. J Royal Stat Soc 39 (1977) 1-38
9. Dydenko I., Jamal F., Bernard O., D'hooge J., Magnin I.E., and Friboulet D. A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography. Med Image Analys 10 (2006) 162-177
10. Gong L., Pathak S.D., Haynor D.R., Cho P.S., and Kim Y. Parametric shape modeling using deformable superellipses for prostate segmentation. IEEE Trans Med Imaging 23 3 (2004) 340-349
11. Hass C., Ermert H., Holt S., Grewe P., Machraoui A., and Barmeyer J. Segmentation of 3D intravascular ultrasonic images based on a random field model. Ultrasound Med Biol 26 2 (2000) 297-306
12. Lee D.Y., Eigler N., Luo H., Nishioka T., Tabak S., Forrester J.S., and Siegel R.J. Effects of intracoronary ultrasound imaging on clinical decision making. Am Heart J 129 6 (1995) 1084-1093
13. Martin-Fernandez M., and Alberola-Lopez C. An approach for contour detection of human kidneys for ultrasound images using Markov random fields and active contours. Med Image Analys 9 1 (2005) 1-23
14. Mikic I., Krucinski S., and Thomas J.D. Segmentation and tracking in echocradiographic sequences: Active contours guided by optical flow estimates. IEEE Trans Med Imaging 17 2 (1998) 274-284
15. Moon W.K., Chang R.F., Chen C.J., Chen D.R., and Chen W.L. Solid breast masses: Classification with computer-aided analysis of continuous US images obtained with probe compression. Radiology 236 (2005) 458-464
16. Mulet-Parada M., and Noble J.A. 2D + T boundary detection in echocardiography. Med Image Analys 4 1 (2000) 21-30
17. Nissen S.E., and Yock P. Intravascular ultrasound: novel pathophysiological insights and current clinical applications. Circulation 103 4 (2001) 604-616
18. Noble J.A., and Boukerroui D. Ultrasound image segmentation: A survey. IEEE Trans Med Imaging 25 8 (2006) 987-1010
19. Papademetris X., Sinusas A.J., Dione D.P., Constable T., and Duncan J.S. Estimation of 3-D left ventricular deformation from medical images using biomechanical Models. IEEE Trans Med Imaging 21 7 (2002) 786-800
20. Shreedhara K.S., and Kumar M.A. 3D reconstruction of solid breast nodule in ultra sonographic image. Proceedings of the International Conference on Cognition and Recognition (2005) 759-767
21. Vincent L., and Soille P. Watershed in digital spaces: An efficient algorithm based on immersion simulations. IEEE Trans PAMI 13 6 (1991) 583-597
22. Xie J., Jiang Y., and Tsui H.T. Segmentation of kidney from ultrasound images based on texture and shape priors. IEEE Trans Med Imaging 24 1 (2005) 35-57
23. Ye X.J., and Noble J.A. 3-D freehand echocardiography for automatic left ventricle reconstruction and analysis based on multiple acoustic windows. IEEE Trans Med Imaging 21 9 (2002) 1051-1058
24. Zhu S.C., and Yuille A. Region competition: Unifying snakes, region growing, and bayes/MDL for multiband image segmentation. IEEE Trans Patt Analys Machine Intell 18 9 (1996) 884-900