Fuzzy object detection in 3D medical images

He Wang; Tian-ge Zhuang; Dazong Jiang; Heng Zhang; Wan-Yu Liu; A. Bacelar; Isabelle E. Magnin; Gerard Gimenez

doi:10.1117/12.271118

4 April 1997 Fuzzy object detection in 3D medical images

He Wang, Tian-ge Zhuang, Dazong Jiang, Heng Zhang, Wan-Yu Liu, A. Bacelar, Isabelle E. Magnin, Gerard Gimenez

Proceedings Volume 3026, Nonlinear Image Processing VIII; (1997) https://doi.org/10.1117/12.271118
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

3D images are becoming more popular in the medical field. In order to extract desired objects with uncertainties in 3D images, we proposed a novel method to detect fuzzy boundaries with the aid of fuzzy connectivity relation derived from the theory of fuzzy digital topology. A seed point is interactively selected which is definitely inside the desired object, and is assigned an appropriate membership according to the statistic characteristics in its neighborhood, which is called 'seed region'. Memberships of the other points in the image depend not only on their similarity of greylevel to the seed region, but also on their similarity to adjacent voxels. The later may be calculated from a point to the seed region on the basis of a newly defined concept of fuzzy connectivity. After such transformation, a fuzzy boundary is generated corresponding to a characteristic edge point that is selected by experiences or according to the requirement of practical applications. Furthermore, we may take use of skeleton extraction to optimize this boundary. Boundaries extracted like this are ensured to be Jordan. Experiments on some ultrasonic images show satisfying results with smoothed, connective and optimal boundaries.

Citation Download Citation

He Wang, Tian-ge Zhuang, Dazong Jiang, Heng Zhang, Wan-Yu Liu, A. Bacelar, Isabelle E. Magnin, and Gerard Gimenez "Fuzzy object detection in 3D medical images", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); https://doi.org/10.1117/12.271118

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