Automatic Segmentation of a Brain Region in MR Images Using Automatic Thresholding and 3D Morphological Operations

Tae-Woo KIM  Dong-Uk CHO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E85-D   No.10   pp.1698-1709
Publication Date: 2002/10/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Medical Engineering
Keyword: 
automatic thresholding,  brain region segmentation,  dual curve fitting,  magnetic resonance image (MRI),  morphological operation,  

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Summary: 
A novel technique for automatic segmentation of a brain region in single channel MR images for visualization and analysis of a human brain is presented. The method generates a volume of brain masks by automatic thresholding using a dual curve fitting technique and by 3D morphological operations. The dual curve fitting can reduce an error in curve fitting to the histogram of MR images. The 3D morphological operations, including erosion, labeling of connected-components, max-feature operation, and dilation, are applied to the cubic volume of masks reconstructed from the thresholded brain masks. This method can automatically segment a brain region in any displayed type of sequences, including extreme slices, of SPGR, T1-, T2-, and PD-weighted MR image data sets which are not required to contain the entire brain. In the experiments, the algorithm was applied to 20 sets of MR images and showed over 0.97 of similarity index in comparison with manual drawing.