Object identification and data extraction in XRII images for C-arm based surgical navigation
10.3969/j.issn.1673-8225.2009.48.008
- VernacularTitle:基于C型臂手术导航技术的XRⅡ图像中标志物识别及数据提取
- Author:
Shiju YAN
;
Tongyi CHEN
- Publication Type:Journal Article
- From:
Chinese Journal of Tissue Engineering Research
2009;13(48):9443-9446
- CountryChina
- Language:Chinese
-
Abstract:
It is a key technique of C-arm based surgical navigation to recognize circular objects and extract their geometric data from XRII images. Previous methods possess low detecting & extracting accuracy and low reliability. In this paper, we proposed a hybrid object detecting algorithm. Firstly, an improved Circle Hough Transform (CHT) was used to obtain the accumulative space, and the section of the space was used to acquire a binarized image. Secondly, connected component analysis method was used to recognize circular objects and extract their areas and center coordinates. In the improved CHT, mask and integral operator were redefined. In the connected component analysis, a new circle measurement was used. Results of the study showed that the proposed algorithm possesses high detecting ratio, high detecting accuracy, and reliability.
