The segmentation of vessel in CTA is a challenging task mainly due to bone contact from different regions. The proposed method considers a spatial structure features based partition algorithm which can be separated into three sub-volumes. Firstly, a region growing method was brought forward to remove the background interference, and then added up the bone pixel number in the canter region of head image with specific rules to separate from the proximal layer and the middle layer. Finally, the structure feature of bone profile in neck image was used to separate from middle layer and the distal layer. The experiment results illustrate that the proposed method effectively separate the CTA head-neck image into three sub-volumes in terms of real-timeness, effectiveness and robustness.
|Title of host publication
|Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - Mar 2 2015
|2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 - Shenyang, China
Duration: Jun 29 2014 → Jul 4 2014
|Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
|2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
|6/29/14 → 7/4/14
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Region growing
- Spatial structure