Automatic lung segmentation of volumetric low-dose CT scans using graph cuts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5358 LNCS, Issue PART 1, 2008, Pages 258-267

  Ali, Asem M ^a   Farag, Aly A ^a  

^a University of Louisville   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTED TOMOGRAPHY; CONVENTIONAL APPROACH; DATA SETS; EM ALGORITHMS; EMPIRICAL DISTRIBUTIONS; ENERGY FUNCTIONS; GEOMETRICAL PHANTOM; GLOBAL OPTIMIZATION ALGORITHM; GRAPH CUT; GRAY LEVELS; IMAGE SIGNAL; INITIAL SEGMENTATION; LABELED DATA; LINEAR COMBINATION OF GAUSSIANS; LOW DOSE; LOW-DOSE CT; LUNG REGIONS; LUNG SEGMENTATION; MARKOV-GIBBS RANDOM FIELDS; MODEL IDENTIFICATION; NEGATIVE COMPONENTS; SEGMENTED DATA; STATISTICAL ANALYSIS; UNSUPERVISED SEGMENTATION;

BIOLOGICAL ORGANS; COMPUTER SCIENCE; COMPUTERIZED TOMOGRAPHY; GLOBAL OPTIMIZATION; IMAGE SEGMENTATION; LABELS; MEDICAL IMAGING; PARAMETER ESTIMATION;

THREE DIMENSIONAL;

EID: 68649097543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89639-5_25     Document Type: Conference Paper

References (13)

1. Sluimer, I., Schilham, A., Prokop, M., van Ginneken, B.: Computer analysis of computed tomography scans of the lung: a survey. IEEE Transactions on Medical Imaging 25, 385-405 (2006)
2. Hu, S., Hoffman, E.A., Reinhardt, J.M.: Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Transactions on Medical Imaging 20, 490-498 (2001)
3. Brown, M.S., McNitt-Gray, M.F., Mankovich, N.J., Goldin, J., Hiller, J., Wilson, L.S., Aberle, D.R.: Method for segmenting chest ct image data using an anatomical model: Preliminary results. IEEE Transactions on Medical Imaging 16, 828-839 (1997)
4. Sluimer, I., Prokop, M., van Ginneken, B.: Toward automated segmentation of the pathological lung in ct. IEEE Transactions on Medical Imaging 24, 1025-1038 (2005)
5. Zhang, L., Hoffman, E.A., Reinhardt, J.M.: Atlas-driven lung lobe segmentation in volumetric x-ray ct images. In: Proc. of the SPIE, vol. 5031, pp. 306-315 (2003)
6. Boykov, Y., Funka-Lea, G.: Graph cuts and efficient N-D image segmentation. International Journal of Computer Vision 70, 109-131 (2006)
7. Boykov, Y., Jolly, M.P.: Interactive organ segmentation using graph cuts. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 276-286. Springer, Heidelberg (2000)
8. Lombaert, H., Sun, Y., Grady, L., Xu, C.: A multilevel banded graph cuts method for fast image segmentation. In: IEEE Proceedings of International Conference on Computer Vision, vol. I, pp. 259-265 (2005)
9. Chen, S., Cao, L., Liu, J., Tang, X.: Automatic segmentation of lung fields from radiographic images of sars patients using a new graph cuts algorithm. In: International Conference on Pattern Recognition, vol. 1, pp. 271-274 (2006)
10. Farag, A., El-Baz, A., Gimelfarb, G.: Density estimation using modified expectation maximization for a linear combination of gaussians. In: IEEE Proceedings of International Conference on Image Processing, vol. 3, pp. 1871-1874 (2004)
11. Gimelfarb, G.L.: Image Textures and Gibbs Random Fields. Kluwer Academic, Dordrecht (1999)
12. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max- flowalgorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 1124-1137 (2004)
13. Besag, J.E.: On the statistical analysis of dirty pictures. Journal of the Royal Statistical Society B 48, 259-302 (1986)