An integrated clustering algorithm and its application in surgical navigation

摘要：

　　Extracting landmark geometric parameters in fluoroscopic image is a key technique in the camera calibration process of C-arm-based surgical navigation.This paper proposes an integrated clustering algorithm for landmark geometric parameters extraction.The proposed algorithm integrates an adaptive thresholding method and a connected components analysis method,it needs only one pass to process grayscale images and outcomes landmarks parameters directly.By experiments,the proposed algorithm demonstrates its high robustness,reliability and running efficiency in landmark geometric parameters extraction.

关键词： C-arm-based surgical navigation thresholding connected components analysis parameters extraction

作者: Shiju Yan

作者单位: Shanghai Institute for Minimally Invasive Therapy,School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai,China

会议类型: 国际会议

会议名称: 2013 International Conference on Advanced Engineering Materials and Architecture Sciences(2013先进工程材料与建筑科学国际会议)(ICAEMAS 2013)

会议地点: 西安

会议语种:英文

页码: 17-20

在线出版日期: 2013-07-27（万方平台首次上网日期，不代表论文的发表时间）