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

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2002-10-01

著者

• Cho Dong-uk

  Dep. Of Information & Telecommunications Chungbuk Provincial University Of Science & Technol

• Kim Tae-woo

  Medical Appkucation Team Samsung Advanced Institute Of Technology

関連論文

• Automatic Segmentation of a Brain Region in MR Images Using Automatic Thresholding and 3D Morphological Operations
• Medical Image Query System for Morphometric and Functional Analysis of Brain Images
• A Medical Image Processing System for Visualization and Quantification of a Human Brain

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