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Proceedings Paper

Automated connectivity-based thresholding segmentation of midsagittal brain MR images
Author(s): Chulhee Lee; Michael A. Unser; Terence A. Ketter
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Paper Abstract

In this paper, we propose an algorithm for automated segmentation of midsagittal brain MR images. First, we apply thresholding to obtain binary images. From the binary images, we locate some landmarks. Based on the landmarks and anatomical information, we preprocess the binary images to eliminate small regions and remove the skull, which substantially simplifies the subsequent operations. We perform segmentation in the binary image as much as possible and then return to the gray scale image to solve problematic areas. We propose a new connectivity-based thresholding segmentation to separate brain regions from surrounding tissues. Experiments show promising results.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233286
Show Author Affiliations
Chulhee Lee, National Institutes of Health (United States)
Michael A. Unser, National Institutes of Health (United States)
Terence A. Ketter, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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