Abstract
An intelligent deformable model called worm model is constructed. The worm has a central nervous system, vision, perception and motor systems. It is able to memorize, recognize objects and control the motion of its body. The new model overcomes the defects of existing methods since it is able to process the segmentation of the image intelligently using more information available rather than using pixels and gradients only. The experimental results of segmentation of the corpus callosum from MRI brain images show that the proposed worm model is able to segment medical images automatically and accurately. For those images that are more complex or with fragmentary boundaries, the predominance of the worm model is especially clear.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Luo, S., Zhou, G.: Medical image processing and analysis, pp. 65–138. Science Press, Beijing (2003)
Montagnat, J., Delingette, H., Ayache, N.: A review of deformable surfaces: topology, geometry and deformation. Image and Vision Computing 19, 1023–1040 (2001)
Pizer, S., Fletcher, P., Fridman, Y., Fritsch, D., Gash, A., Glotzer, J., Joshi, S., Thall, A., Tracton, G., Yushkevich, P., Chaney, E.: Deformable m-reps for 3D medical image segmentation. International Journal of Computer Vision 55, 85–106 (2003)
Shen, D., Davatzikos, C.: An adaptive-focus deformable model using statistical and geometric information. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 906–913 (2000)
Sebastian, T.B., Tek, H., Crisco, J.J., Kimia, B.B.: Segmentation of carpal bones from CT images using skeletally coupled deformable models. Medical Image Analysis 7, 21–45 (2003)
Huang, W., Pan, Z.: Applications of Artificial Life in Computer Graphics. Journal of Computer-Aided Design & Computer Graphics 17, 1383–1388 (2005)
McInerney, T., Hamarneh, G., Sheton, M., Terzopoulos, D.: Deformable organisms for automatic medical image analysis. Medical Image Analysis 6, 251–266 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Feng, J., Wang, X., Luo, S. (2008). A Worm Model Based on Artificial Life for Automatic Segmentation of Medical Images. In: Gao, X., Müller, H., Loomes, M.J., Comley, R., Luo, S. (eds) Medical Imaging and Informatics. MIMI 2007. Lecture Notes in Computer Science, vol 4987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79490-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-79490-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79489-9
Online ISBN: 978-3-540-79490-5
eBook Packages: Computer ScienceComputer Science (R0)