Fast interactive volume rendering method for adjustable vessel segmentation visualization

作     者：MAXIME Guilbot 杨新 MAXIME Guilbot;YANG Xin

作者机构：Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 P. R. China 

出 版 物：《Journal of Shanghai University(English Edition)》 (上海大学学报（英文版）)

年 卷 期：2008年第12卷第3期

页      面：240-248页

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：Project supported by the National Natural Science Foundation of China (Grant No.60572154)  and the National Basic Research Program of China (Grant No.2003CB716104)Acknowledgment I would like to thank YANG Xin  my tutor  SHANG Yan- feng  SUN Kun of Shanghai Children's Medical Center  and all the people in 3D Visualization Laboratory of Shanghai Jiaotong University for their help during my research 

主　　题：volume rendering coronary vessels segmentation segmentation error detection texture shader graphic processinguint （GPU） 

摘      要：Medical diagnosis software and computer-assisted surgical systems often use segmented image data to help clinicians make decisions. The segmentation extracts the region of interest from the background, which makes the visualization clearer. However, no segmentation method can guarantee accurate results under all circumstances. As a result, the clinicians need a solution that enables them to check and validate the segmentation accuracy as well as displaying the segmented area without ambiguities. With the method presented in this paper, the real CT or MR image is displayed within the segmented region and the segmented boundaries can be expanded or contracted interactively. By this way, the clinicians are able to check and validate the segmentation visually and make more reliable decisions. After experiments with real data from a hospital, the presented method is proved to be suitable for efficiently detecting segmentation errors. The new algorithm uses new graphic processing uint （GPU） shading functions recently introduced in graphic cards and is fast enough to interact oil the segmented area, which was not possible with previous methods.