A method for extracting landmark geometric data from X-ray images.
- Author:
Shiju YAN
1
;
Qing XIA
;
Liwei QIAN
;
Chengtao WANG
Author Information
1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Calibration;
Humans;
Image Processing, Computer-Assisted;
methods;
Radiographic Image Enhancement;
methods;
Radiographic Image Interpretation, Computer-Assisted;
Surgery, Computer-Assisted;
methods
- From:
Journal of Biomedical Engineering
2008;25(5):1039-1043
- CountryChina
- Language:Chinese
-
Abstract:
Extracting landmark geometric data in C-arm X-ray images is a key technique of camera calibration process in a fluoroscopic-image-based surgical navigation system. The geometric data is the basis of X-ray image distortion correction and C-arm camera calibration. In this paper we present an integrated clustering algorithm for landmark geometric data extraction. This proposed alorithm, with the advantages of an adaptive thresholding method as well as of a fast quasi connected-component labeling method, needs only one pass to extract the needed geometric data in a gray scale image. It is of high executive efficiency and good robustness as well.
