Automatic brain extraction method based on hybrid level set model
Shaofeng Jiang · Journal of Computer Applications · 2013
Automatic extraction of brain is an important step in the preprocessing of brain internal analysis.To improve the extraction result,a modified Brain Extraction Tool(BET) and hybrid level set model based method for automatic brain extraction was proposed.The first step of the proposed method was obtaining rough brain boundary with the improved BET algorithm.Then the morphological expansion was operated on the rough brain boundary to initialize the Region of Interest(ROI) where the hybrid active contour model was defined to obtain a new contour.The ROI and the new contour were iteratively replaced until the accurate brain boundary was achieved.Seven Magnetic Resonance Imaging(MRI) volumes from Internet Brain Segmentation Repository(IBSR) website were used in the experiment.The proposed method achieved low average total misclassification ratio of 7.89%.The experimental results show the proposed method is effective and feasible.