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Computational Intelligence and Design, International Symposium on (2011)
Hangzhou, China
Oct. 28, 2011 to Oct. 30, 2011
ISBN: 978-0-7695-4500-4
pp: 123-126
For hippocampus of MRI demonstrating the low contrast, low signal to noise ratio(SNR), boundary discrete, intensity in homogeneities features, this paper proposed an improved level set model that based on regional and edge information. Refer to the intensity in homogeneities image, the global image information of external energy item is joined, to optimize the segmentation result, adopt edge information that is extracted by wavelet, which is used as an edge constraint stop item. Experimental results of many times segmentation of the hippocampus of MRI image show that this algorithm can precisely segment intensity in homogeneities image and improve the segmentation speed, so this algorithm can be applied to the complex structure segmentation, such as the hippocampus.
the hippocampus, level set, image segmentation, intensity inhomogeneities
Wenjun Tan, Dan Zhang, Shuying Zhao, Xiangman Song, "Segmentation of Hippocampus in MRI Images Based on the Improved Level Set", Computational Intelligence and Design, International Symposium on, vol. 01, no. , pp. 123-126, 2011, doi:10.1109/ISCID.2011.39
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