Active Neighborhood Model Based Brain Extraction Method and Automatic Parameter Setting

The extraction of brain tissue from cerebral T1-Weighted MRI volume is an important pre-procedure for determination of brain volume, segmentation of brain tissues, and quantification of brain atrophy. The random forest method was used in the active neighborhood model based brain extraction method to set the parameters automatically. This method firstly performed brain extraction on training samples and obtained the corresponding parameters. After feature extraction of training samples, this paper used random forest classifier to classify the training samples and then performed discriminant for testing samples to obtain the parameters of testing samples. Experiments show our brain extraction method has good robustness, and the proposed parameter setting method is feasible and can reduce the interaction of the users.