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Proceedings Paper

Automatic feature extraction of head MR image based on limited region growing and improved boundary tracking method
Author(s): Tao Yong; Guofan Jin; Jiangang Wang; Minxian Wu
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Paper Abstract

In this paper, based on the analysis ofhead MR (Magnetic Resonance) image, an effective method is developed to automatically extract skull area and edges from MR image. Based on slip gray scale threshold and specifically qualifications, a region growing method is applied to automatically form the skull area candidates and confirm the true area. Then an improved boundary tracking method is applied to remove the pseudo-structures of the rough skull area. Limited tracking bug and some definite shape operations are applied to remove the redundant protuberances and dead zones, without any effect on the true skull area. The experimental result is provided and discussed.

Paper Details

Date Published: 30 August 2002
PDF: 8 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481552
Show Author Affiliations
Tao Yong, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Jiangang Wang, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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