Share Email Print
cover

Proceedings Paper

Automatic recognition of corpus callosum from sagittal brain MR images
Author(s): Chulhee Lee; Michael A. Unser; Terence A. Ketter
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We propose a new method to find the corpus callosum from sagittal brain MR images automatically. First, we calculate the statistical characteristics of the corpus callosum and obtain shape information. The recognition algorithm consists of two stages: extracting regions satisfying the statistical characteristics (gray level distribtuions) of the corpus callosum, and finding a region matching the shape information. An innovative feature of the algorithm is that we adaptively relax the statistical requirement until we find a region matching the shape information. In order to match the shape information, we propose a new directed window region growing algorithm instead of using conventional contour matching. Experiments show promising results.

Paper Details

Date Published: 22 August 1995
PDF: 7 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217439
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. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top