Abstract
A segmentation algorithm in 3d medical data is proposed based on boundary model and local character structure in this paper. We found out inner voexls and outer voexls by pre-appointed voxel based on boundary model. And then, boundary voexls are correctly classified into different tissues by their eigenvalues of Hessian matrix based on the local character structure. Only eigenvalues of the boundary voxels are computed, so little time is used compared with other algorithms based on local character structure. It can quickly and effectively realize the segmentation of single tissue.
This work is supported by Shandong Province Education Department Foundation of China under Grant No. J05C10 and State key Lab. CAD&CG of Zhejiang University Opening Foundation.
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Peng, Y., Zhang, D., Zhao, W., Shi, J., Zheng, Y. (2006). Research on Segmentation Algorithm of 3d Medical Data. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_111
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DOI: https://doi.org/10.1007/11941354_111
Publisher Name: Springer, Berlin, Heidelberg
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