Segmentation of coronary artery using graph cut technique

Authors

  • A. Niranjan   Assistant Professor, SCSVMV University, Kanchipuram, Tamil Nadu , India

Keywords:

segmentation, coronary artery, centerline, coronary angiography

Abstract

Accurate segmentation of coronary artery is very essential in order to find the depth of arterial disease. In this paper we propose an accurate automatic algorithm based on graph cut technique for the segmentation of coronary artery. To achieve the optimal segmentation vesselness measure, geodesic path and edge extraction technique are combined with graph cut technique.we evaluate the proposed method on the public images from coronary artery stenoses detection. The experimental results prove that segmentation results of the proposed method perform well with respect to centerline extraction and vessel border detection.

References

  1. H. Sundar, A. Khamene, C. Xu, F. Sauer, and C. Davatzikos, "A novel 2-D-3-D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images," in Proc. SPIE—Med. Imag., 2006, vol. 6141, pp. 760-766.
  2. C. T. Metz, M. Schaap, S. Klein, L. A. Neefjes, E. Capuano, C. Schultz, R. J. Geuns, P. W. Serruys, T.  Walsum, and W. J. Niessen, "Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images," Med. Image Comput.
  3. Comput. Assist. Interv., vol. 12, pp. 369-376, 2009
  4. C. Rother,V.Kolmogorov, and A. Blake, "Grabcut: Interactive foreground extraction using iterated graph cuts," J. ACMTrans. Graph., vol. 23, no. 3,pp. 309-314, 2004.
  5. S. Candemir and Y. Akgul, "Adaptive regularization parameter for graphcut segmentation," in Image Analysis and Recognition. New York: Springer, 2010, pp. 117-126.
  6. A. Hernandez-Vela, C. Gatta, S. Escalera, L. Igual, V. Martin-Yuste,and P. Radeva, "Accurate and  robust fully-automatic QCA: method and numerical validation," Med. Image Comput. Comput. Assist. Interv.,vol. 14, pp. 496-503, 2011.
  7. M. Schaap et al., "Standardized evaluation methodology and referencedatabase for evaluating coronary artery centerline extraction algorithms,"Med. Image Anal., vol. 13, no. 5, pp. 701-14, 2009.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2018-03-23

Issue

Volume 5, Issue 1, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. Niranjan "Segmentation of coronary artery using graph cut technique" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 1, pp.20-23, March-April-2018.