Region based active contour method for x-ray lung segmentation using prior shape and lowlevel features

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Volumn , Issue , 2010, Pages 892-895

  Annangi, P ^a   Thiruvenkadam, S ^a   Raja, A ^a   Xu, H ^a   Sun, XiWen ^b   Mao, Ling ^b  

^a GE GLOBAL RESEARCH   (United States)

^b SHANGHAI PULMONARY HOSPITAL   (China)

Author keywords

Canny edge; Chest x ray; Level sets; Lung segmentation; Pneumoconiosis; Region based active contour

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; CANNY EDGES; CHEST X-RAY IMAGE; CLINICAL IMAGES; DATA TERMS; FEATURE POINT; LEVEL SET; LOCAL MINIMUMS; LOW-LEVEL FEATURES; LUNG SEGMENTATION; MULTISCALES; REGION BASED ACTIVE CONTOURS; REGION-BASED; SHADING EFFECT;

EDGE DETECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; MEDICAL IMAGING; X RAYS;

BIOLOGICAL ORGANS;

EID: 77955195408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490130     Document Type: Conference Paper

References (16)

1. Bram van Ginneken and Max A.Viergever, "Computer-aided diagnosis in chest radiography-a survey," IEEE Transactions on Medical Imaging, vol. 20, no. 12, pp. 1228-1241, 2001.
2. R. Malladi, J.A. Sethian, and B.C. Vemuri, "Shape modeling with front propagation: A level set approach," IEEE Trans. on PAMI, vol. 17, pp. 158-175, 1995.
3. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in ICCV, 1995, pp. 694-699.
4. S. Kichenassamy, A. Kumar, P. Olver, A. Tannenbaum, and A. Yezzi, "Gradient flows and geometric active contour models," in ICCV, 1995, pp. 810-815.
5. N. Paragios and R. Deriche, "Geodesic active regions and level set methods for supervised texture segmentation," IJCV, vol. 46, no. 3, pp. 223-247, 2002.
6. T.F. Chan and L.A Vese, "Active contours without edges," IEEE Trans. Image Processing, vol. 10, no. 2, pp. 266-277, 2001.
7. A. Tsai, A. Yezzi, et al., "Model-based curve evolution technique for image segmentation," in In Proc. CVPR'01, Dec. 2001, vol. 1, pp. 463-468.
8. T. Brox and D. Cremers, "On the statistical interpretation of the piecewise smooth mumford-shah functional," in SSVM, 2007, vol. 4485, pp. 203-213.
9. W. Guo and Y. Chen, "Using non-parametric kernel to segment and smooth images simultaneously," in ICIP, 2006, pp. 217- 220.
10. Yunmei Chen, Hemant Tagare, et al., "Using prior shapes in geometric active contours in a variational framework.," IJCV, vol. 50, no. 3, pp. 315-328, 2002.
11. T. Chan and W. Zhu, "Level set based shape prior segmentation," in Proc. CVPR'05, 2005, pp. 20-26.
12. D. Cremers, N. Sochen, and C. Schn̈orr, "Towards recognitionbased variational segmentation using shape priors and dynamic labeling," in Proceedings of International Conference on Scale Space Theories in Computer Vision, 2003.
13. Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, and Dinggang Shen, "Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics," in MICCAI, 2006, vol. 1, pp. 83-91.
14. Yonghong Shi and Dinggang Shen, "Hierarchical shape statistical model for segmentation of lung fields in chest radiographs," in MICCAI, 2008, vol. 1, pp. 417-424.
15. J.Alison Noble, "Finding corners," Image and Vision Computing, vol. 6, no. 2, pp. 121-128, 1988.
16. C. Goodall, "Procrustes methods in the statistical analysis of shape series b," Journal of the Royal Statistical Society, vol. 53, pp. 285-339, 1991.