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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2016 Vol.8(3): 240-243 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2016.V8.1051

Heuristically Semi-automated Segmentation of Femur from 3-D CT Images

Zhiwei Huang, Ning Dai, and Hao Liu
Abstract—It’s hard to segment CT slices featured contour accurately and rapidly. As we all know,the segmentation of femur contour is an essential operation for the medical image 3D reconstruction, most of the software to extract the CT contour layer by layer, which is not only time-consuming but also inaccurate. According to the limitation, this paper comes up with a semi-automatic segmenting method for femur contour, which is based on heuristic. To start with, we enhance all the edges of the image. Secondly, a new method which is based on heuristic contour extracted technology is used to extract slice sequence outlines. Semi-automatic contour extractive experiments with CT slice data verify the validity and practicability of the algorithm.

Index Terms—CT slices, outline extraction, snake algorithm.

The authors are with the College of Mechanical and Electrical Engineer, Nanjing University of Aeronautics and Astronautics, Nanjing, China (e-mail: hzw1003613248@126.com, dai_ning@nuaa.edu.cn, liuhao-01@nuaa.edu.cn).


Cite:Zhiwei Huang, Ning Dai, and Hao Liu, "Heuristically Semi-automated Segmentation of Femur from 3-D CT Images," International Journal of Computer Theory and Engineering vol. 8, no. 3, pp. 240-243, 2016.

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