A New Approach for Segmentation of Brain MR Image
نویسندگان
چکیده
In the frame of medical imaging, accurate segmentation of brain MR images is of interest for many brain disorders. However, due to several factors such noise, imaging artifacts, intrinsic tissue variation and partial volume effects, tissue segmentation remains a challenging task. So, in this paper, a full automatic framework for segmentation of brain MR images is presented. The framework consists of three-step segmentation procedure. First, segmentation of brain/non-brain tissue is performed by using Hybrid watershed algorithm (HWA). Then the intensity inhomogeneity correction method is applied to MR image. Finally, Fuzzy Kohonen's Competitive Learning (F-KCL) Algorithms are used for MRI tissue segmentation. The efficiency of the proposed framework is demonstrated by extensive segmentation experiments using simulated MR images.
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