MRI Image Segmentation of Brain Tissue by Novel Level Set Model
نویسندگان
چکیده
In the paper, we proposed a model called Adaptive Threshold Level Set Without Edge that is applied on the segmentation of GM in brain MR images. Threshold to find the boundary of GM is automatically obtained by fuzzy c mean algorithm. A similarity index (SI) is used for quantitative evaluation of the segmentation results. By testing 134 planar MR brain images and comparing to the gold standard segmentation, the mean and the variance of SI are 0.90311 and 0.042049. The experimental results demonstrate our method can automatically and accurately segment the GM. Keywords—Level set method, Fuzzy clustering, Gold standard, Image segmentation, MR imaging.
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