Automatic Eztraction of Control Points for Chest X-ray Images and Elastic Registration
This paper presents a novel approach for control points detection and region of interest (ROI) extraction for chest x-ray images. We develop a search strategy to achieve the control points and ROI using speciality of intensity distribution of chest x-ray images, including mean, variance and difference. Therefore, a bounding box of lung fields is acquired and can be considered as ROI for image analysis and diagnosis. Based on the corresponding anatomical point landmarks, we also consider a thin-plate spline deformation as a method to solve non-rigid registration for chest x-ray images. Finally, we demonstrate its efficiency for real-time ROI extraction and accurate registration.
Chest z-ray image intensity distribution region of interest thin-plate spilne registration
Shengwen Guo Xiaoming Wu Zhaohui Luo
Department of Biomedical Engineering, South China University of Technology, Guangzhou, China
国际会议
上海
英文
2673-2676
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）