title: Automatic Brain Portion Segmentation From Magnetic Resonance Images of Head Scans Using Gray Scale Transformation and Morphological Operations.
abstract: OBJECTIVE
  To develop an automatic skull stripping method for magnetic resonance imaging (MRI) of human head scans.
  
  
  METHODS
  The proposed method is based on gray scale transformation and morphological operations.
  
  
  RESULTS
  The proposed method has been tested with 20 volumes of normal T1-weighted images taken from Internet Brain Segmentation Repository. Experimental results show that the proposed method gives better results than the popular skull stripping methods Brain Extraction Tool and Brain Surface Extractor. The average value of Jaccard and Dice coefficients are 0.93 and 0.962 respectively.
  
  
  CONCLUSIONS
  In this article, we have proposed a novel skull stripping method using intensity transformation and morphological operations. This is a low computational complexity method but gives competitive or better results than that of the popular skull stripping methods Brain Surface Extractor and Brain Extraction Tool.
authors: From the Image Processing Laboratory, Department of Computer Science and Applications, Gandhigram Rural Institute, Gandhigram, Dindigul, Tamil Nadu, India.
authors: Karuppanagounder
authors: K
authors: Somasundaram
authors: Kamalanathan
authors: K
authors: Ezhilarasan
mesh_terms: D000328:Adult; D001921:Brain / Q000033:anatomy & histology*; D001931:Brain Mapping / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D055815:Young Adult