Automatic feature extraction of head MR image based on limited region growing and improved boundary tracking method

Tao Yong; Guofan Jin; Jiangang Wang; Minxian Wu

doi:10.1117/12.481552

30 August 2002 Automatic feature extraction of head MR image based on limited region growing and improved boundary tracking method

Tao Yong, Guofan Jin, Jiangang Wang, Minxian Wu

Author Affiliations +

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481552
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Tao Yong, Guofan Jin, Jiangang Wang, and Minxian Wu "Automatic feature extraction of head MR image based on limited region growing and improved boundary tracking method", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481552

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