Cellular automata segmentation of brain tumors on post contrast MR images
Hamamcı, Andaç and Ünal, Gözde and Küçük, Nadir and Engin, Kayıhan (2010) Cellular automata segmentation of brain tumors on post contrast MR images. In: 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2010), Beijing, China
Official URL: http://dx.doi.org/10.1007/978-3-642-15711-0_18
In this paper, we re-examine the cellular automata(CA) al- gorithm to show that the result of its state evolution converges to that of the shortest path algorithm. We proposed a complete tumor segmenta- tion method on post contrast T1 MR images, which standardizes the VOI and seed selection, uses CA transition rules adapted to the problem and evolves a level set surface on CA states to impose spatial smoothness. Val- idation studies on 13 clinical and 5 synthetic brain tumors demonstrated the proposed algorithm outperforms graph cut and grow cut algorithms in all cases with a lower sensitivity to initialization and tumor type.
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