Research of Segmentation Algorithms for Overlapping Chromosomes

Abstract

Chromosome segmentation is the most important step in the automatic chromosome analysis system. Since in almost every metaphase image partial touching and overlapping of chromosomes are a common phenomenon, how to separate these chromosomes correctly is a difficult yet vital problem. A number of attempts have been made to deal with this problem. This paper is focused on these attempts. Some algorithms are investigated. The principle and the realization of these algorithms are analyzed. Results of these algorithms are compared and discussed.

Share and Cite:

Yan, W. and Bai, L. (2013) Research of Segmentation Algorithms for Overlapping Chromosomes. Engineering, 5, 404-408. doi: 10.4236/eng.2013.510B082.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] C. Lundsteen and J. Piper, “Automation of Cytogenetics,” Springer-Verlag, Berlin, 1989. http://dx.doi.org/10.1007/978-3-642-74738-0
[2] J. Liang, “Intelligent Splitting in the Chromosome Domain,” Pattern Recognition, Vol. 22, No. 5, 1989, pp. 519-532. http://dx.doi.org/10.1016/0031-3203(89)90021-6
[3] G. Agam and I. Dinstein, “Geometric Separation of Partially Overlapping Nonrigid Objects Applied to Automatic Chromosome Classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 11, 1997, pp. 1212-1222. http://dx.doi.org/10.1109/34.632981
[4] X. W. Wang, B. Zheng, M. Wood, et al., “Development and Evaluation of Automated Systems for Detection and Classification of Handed Chromosomes: Current Status and Future Perspectives,” Journal of Physics D: Applied Physics, Vol.38, No.15, 2005, pp. 2536-2542. http://dx.doi.org/10.1088/0022-3727/38/15/003
[5] M. Popescu, et al., “Automatic Karyotyping of Metaphase Cells with Overlapping Chromosomes,” Computers in Biology and Medicine, Vol.29, 1999, pp. 61-82. http://dx.doi.org/10.1016/S0010-4825(98)00040-7
[6] S. Wacharapong, J. Krisanadej and J. Mullica, “Segmentation of Overlapping Chromosome Images Using Computational Geometry,” Walailak Journal of Science and Technology, Vol. 2, No. 3, 2006, pp. 181-194.
[7] E. Grisan, E. Poletti, et al., “Automatic Segmentation of Chromosomes in Q-Band Images,” Proceedings of the 29th Annual International Conference of the IEEE EMBS, 2007, pp. 5513-5516.
[8] Y. Rahimi, R. Amirfattahi and R. Ghaderi, “Design of a Neural Network Classifier for Separation of Images with One Chromosome from Images with Several Chromosomes,” 3rd International Conference on Broadband Communi-caitons, Information Technology & Biomedical Applications, 2008, pp. 186-190.
[9] X. Z. Zhou, Y. Lu and Z. Y. Yan, “Image Completion for Overlapping Chromosomes,” 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008, pp. 413-417. http://dx.doi.org/10.1109/PACIIA.2008.271
[10] M. R. Speicher, S. G. Ballard and D. C. Ward, “Karyotyping Human Chromosomes by Combinatorial Multi- Fluor FISH,” Nature Genetics, Vol. 12, 1996, pp. 368- 375. http://dx.doi.org/10.1038/ng0496-368
[11] W. Schwartzkopf, B. L. Evans and A. C. Bovik, “Minimum Entropy Segmentation Applied to Multi-Spectral Chromosome Images,” 2001 International Conference on Image Processing, 2001, pp. 865-868.
[12] C. S. Wade, C. B. Alan and L. E. Brian, “Maximum- Likelihood Techniques for Joint Segmentation-Classification of Multispectral Chromosome Images,” IEEE Transaction on Medical Imaging, Vol. 24, No. 12, 2005, pp. 1593-1610. http://dx.doi.org/10.1109/TMI.2005.859207
[13] H. Choi, A. C. Bovik and K. R. Castleman, “Maximum- Likelihood Decomposition of Overlapping and Touching M-FISH Chromosomes Using Geometry, Size and Color Information,” Proceedings of the 28th IEEE EMBS Annual International Conference, 2006, pp. 3130-3133.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.