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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 5237191, 8 pages
http://dx.doi.org/10.1155/2016/5237191
Research Article

New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy -Means Method

Department of Computer Engineering, Faculty of Engineering, Arak Branch, Islamic Azad University, ARAK, Markazi, Iran

Received 19 July 2016; Revised 23 October 2016; Accepted 27 October 2016

Academic Editor: Thomas Desaive

Copyright © 2016 Katayoon Ahmadi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Selle, B. Preim, A. Schenk, and H.-O. Peitgen, “Analysis of vasculature for liver surgical planning,” IEEE Transactions on Medical Imaging, vol. 21, no. 11, pp. 1344–1357, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. G. Glombitza, W. Lamadé, A. M. Demiris et al., “Virtual planning of liver resections: Image processing, visualization and volumetric evaluation,” International Journal of Medical Informatics, vol. 53, no. 2-3, pp. 225–237, 1999. View at Publisher · View at Google Scholar · View at Scopus
  3. W.-B. Tao, J.-W. Tian, and J. Liu, “Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm,” Pattern Recognition Letters, vol. 24, no. 16, pp. 3069–3078, 2003. View at Publisher · View at Google Scholar · View at Scopus
  4. O. Jamshidi and A. H. Pilevar, “Automatic segmentation of medical images using fuzzy c-means and the genetic algorithm,” Journal of Computational Medicine, vol. 2013, Article ID 972970, 7 pages, 2013. View at Publisher · View at Google Scholar
  5. Y. He, M. Y. Hussaini, J. Ma, B. Shafei, and G. Steidl, “A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data,” Pattern Recognition, vol. 45, no. 9, pp. 3463–3471, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. H. Jiang, B. He, D. Fang, Z. Ma, B. Yang, and L. Zhang, “A region growing vessel segmentation algorithm based on spectrum information,” Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 743870, 9 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. V. Pamulapati, A. Venkatesan, B. J. Wood, and M. G. Linguraru, “Liver segmental anatomy and analysis from vessel and tumor segmentation via optimized graph cuts,” in Proceedings of the 3rd International Conference on Abdominal Imaging: Computational and Clinical Applications (MICCAI '11), pp. 189–197, Springer, Toronto, Canada, 2011.
  8. D. Joshi and N. D. Londhe, “Automatic liver tumour detection in abdominal ct images,” International Journal of Computer Technology and Electronics Engineering, vol. 3, pp. 25–30, 2013. View at Google Scholar
  9. T. Saitoh, Y. Tamura, and T. Kaneko, “Automatic segmentation of liver region based on extracted blood vessels,” Systems and Computers in Japan, vol. 35, no. 5, pp. 1–10, 2004. View at Publisher · View at Google Scholar · View at Scopus
  10. X. Li, S. Luo, and J. Li, “Liver segmentation from CT image using fuzzy clustering and level set,” Journal of Signal and Information Processing, vol. 4, no. 3, pp. 36–42, 2013. View at Publisher · View at Google Scholar
  11. A. Zareei and A. Karimi, “Liver segmentation with new supervised method to create initial curve for active contour,” Computers in Biology and Medicine, vol. 75, pp. 139–150, 2016. View at Publisher · View at Google Scholar
  12. M.-S. Yang, “A survey of fuzzy clustering,” Mathematical and Computer Modelling, vol. 18, no. 11, pp. 1–16, 1993. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  13. J. Bezdek, Fuzzy mathematics in pattern classification [Ph.D. thesis], Applied Mathematic Center, Cornell University, Ithaca, NY, USA, 1973.
  14. M. Alborzi, Genetic Algorithm, Tehran's Sharif University of Technology, Institute of Scientific Publications, Tehran, Iran, 1993.