doi: 10.7763/IJCTE.2016.V8.1051
Heuristically Semi-automated Segmentation of Femur from 3-D CT Images
Zhiwei Huang
,
Ning Dai ,
Hao Liu
- College of Mechanical and Electrical Engineer, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
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.
Keywords
- CT slices
- outline extraction
- snake algorithm
How to 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. https://doi.org/10.7763/IJCTE.2016.V8.1051
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).