%0 Journal Article
%T Pulmonary Nodule Segmentation Based on EM and Mean-shift<br>基于EM和Mean-shift的肺结节分割
%A SUN Shen-shen
%A LI Hong
%A HOU Xin-ran
%A KANG Yan
%A ZHAO Hong
%A SUN Shen-shen
%A LI Hong
%A HOU Xin-ran
%A KANG Yan
%A ZHAO Hong
%A SUN Shen-shen
%A LI Hong
%A HOU Xin-ran
%A KANG Yan
%A ZHAO Hong
%A SUN Shen-shen
%A LI Hong
%A HOU Xin-ran
%A KANG Yan
%A ZHAO Hong
%A SUN Shen-shen
%A LI Hong
%A HOU Xin-ran
%A KANG Yan
%A ZHAO Hong
%A <br>孙申申
%A 李宏
%A 侯欣然
%A 康雁
%A 赵宏
%J 中国图象图形学报
%D 2009
%I 
%X Aiming at solving the segmentation problem caused by the connection of lung nodule and vessel, a new adaptive bandwidth selection method based on EM is proposed and we apply it into nodule segmentation. Compared it to the method of bandwidth chosen based on statistical analysis rule or optimized rule, it has some advantages such as low time complexity and correct bandwidth in accord with a real problem.The vertical orientation vectors of vessels gradient was constructed as to normal distribution and the vertical orientation vectors of nodules gradient as uniform distribution, we modeled the nodule connected vessel, estimated model parameters by EM, and extracted bandwidth values in Mean-shift based on the weight of uniform distribution and bandwidth selection theorem. The proposed method was tested on synthetic data and the clinical chest CT volumes, and all the results were correct. The results revealed that the proposed method is successful in segmentation lung nodules connected vessel.
%K 肺结节
%K 期望最大
%K 均值漂移
%K 梯度法向方向分布特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=785F6C62415052759C2A2DB335F08194&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=F3090AE9B60B7ED1&sid=9F915C6F01DE79C5&eid=885CEFEC57DA488F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10