%0 Journal Article
%T Cross-section Interpolation of Medical Images Based on Pixel Classification<br>基于像素分类的医学图像层间插值
%A TIAN Yun
%A QI Min
%A WEI Xu-fang
%A WEI Jun
%A HE Gui-qing
%A HAO Chong-yang
%A <br>田沄
%A 
%A 齐敏
%A 
%A 卫旭芳
%A 
%A 位军
%A 
%A 何贵青
%A 郝重阳
%J 中国图象图形学报
%D 2008
%I 
%X Image interpolation of cross-sections is one of the key steps of medical visualization.It affects directly the results of reconstructed tissues or organs,which plays an important role in medical treatment and diagnose.The traditional interpolation methods are imprecise or of high computational complexity.Aiming at such problems,an interpolation method based on pixel classification is presented.The method classifies pixels of the image to be interpolated by the relativity of corresponding pixels of its neighbor original images.Then the different methods are adopted to interpolate the different points.In addition,error checkout is introduced to check the mismatching points.Experimental results show that not only the complexity of the proposed approach is reduced,but also its quantitative error frequency is less than the conventional methods.
%K cross-section interpolation
%K medical visualization
%K classification
%K matching
%K Cubic-spline<br>层间插值
%K 医学可视化
%K 分类
%K 匹配
%K Cubic-样条
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=356E89D452A0E0299037E377A46747C9&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=9CF7A0430CBB2DFD&sid=03F4C4D3CD1EB259&eid=14DD4EE1ABB958C5&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10