DocumentCode :
3573064
Title :
An automatic partitioning method of CTA head-neck image
Author :
Gong Zhaoxuan ; Tan Wenjun ; Yang Jinzhu ; Xu Meng jia ; Bian Zijian ; Zhao Da-zhe
Author_Institution :
Key Lab. of Med. Image Comput., Univ. of Northeastern, Springfield, China
fYear :
2014
Firstpage :
3283
Lastpage :
3285
Abstract :
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.
Keywords :
computerised tomography; diagnostic radiography; image segmentation; medical image processing; CTA head-neck image; automatic partitioning method; background interference; bone contact; distal layer; proximal layer; region growing method; spatial structure features based partition algorithm; vessel segmentation; Arteries; Biomedical imaging; Bones; Head; Image segmentation; Neck; Partitioning algorithms; CTA; region growing; spatial structure; vessel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053258
Filename :
7053258
Link To Document :
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