%0 Journal Article %T Reconstructing Surfaces from CT Cross-Sections Based on Shape Feature Point Matching
基于形状特征点匹配的CT断层图象表面重建 %A Zheng Guoyan %A Li Shuxiang %A
郑国焱 %A 李树祥 %J 中国图象图形学报 %D 1996 %I %X How to fast and accurately reconstruct complex surfaces of organs has become increasingly important while the interslice distance is much larger than the interpixel distance. First, this paper presents a shape-keeping and adaptive feature points sampling algorithm, which can reduce storage and computational requirments in the post-processing procedure. Second, an algorithm for reconstructing surfaces from CT cross-sections based on shape feature point matching is presented, which takes into account four properties of tomographic images, i. e. intensity,gradient magnitude, gradient direction, and position disparity of the feature points to improve the accduracy of the reconstructed surface. The experimental results show the effectiveness of the above algorithms. %K Surface reconstruction %K Matching %K Contour %K Sampling
表面重建 %K 匹配 %K 轮廓线 %K 采样 %K 断层图象 %K CT %K 计算机断层扫描 %K 医学图象处理 %K X射线 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=A514751AF0BC95342F9EC7051A849313&yid=8A15F8B0AA0E5323&vid=CA4FD0336C81A37A&iid=E158A972A605785F&sid=EBD6B792C9111B87&eid=2AC7DCCBBC26ECF8&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=3&reference_num=0