%0 Journal Article
%T Morphological component analysis for tomography reconstruction<br>多成分正则化约束的断层图像重建算法
%A Wang Liyan
%A Wei Zhihui
%A Li Xingxiu
%A <br>王丽艳
%A 韦志辉
%A 李星秀
%J 中国图象图形学报
%D 2012
%I 
%X Recently a number of algorithms have been proposed to overcome the data insufficiency for certain compressible signals.Most of the existing methods are appropriate for piecewise smooth objects,but do not behave very well on texture-rich object.In this paper,a new optimization model for tomography reconstruction for texture-rich object is proposed based on morphological components analysis,in which compound regularizations are exploited.Furthermore,an alternating iterative algorithm is presented to solve the relevant optimization problem.We compare its numerical performance with two recent algorithms,which demonstrate that the proposed method is highly efficient especially in preserving texture features.
%K magnetic resonance imaging
%K rphological component analysis
%K alternating iterative algorithm<br>核磁共振成像
%K 多成分分析
%K 交替迭代法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9903A07B9322879A8A9C77C6EC781C2D&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=A04140E723CB732E&eid=96C778EE049EE47D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=16