%0 Journal Article
%T Reduction of Artifacts in Images from MR Truncated Data Using Singularity Spectrum Analysis
%A Luo Jianhua
%A ZHUANG Tiange
%A <br>骆建华
%A 庄天戈
%J 计算机科学技术学报
%D 2000
%I 
%X In this paper, the theory of signal singularity spectrum analysis(SSA) is proposed. Using SSA theory, a new method is presented to reduce truncation artifacts in magnetic resonance (MR) image due to truncated spectrum data.In the scheme, after detecting signal singularity locations using wavelet analysis inspectrum domain, SSA mathematic model is constructed, where weight coefficientsare determined by known truncated spectrum data. Then, the remainder of thetruncated spectrum can be obtained using SSA. Experiment and simulation resultsshow that the SSA method will produce fewer artifacts in MR image from truncatedspectrum than existing methods.
%K singularity spectrum function
%K singularity point
%K truncated spectrum<br>医学诊断
%K 磁共振成像
%K 奇异谱分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=DAEF7C402F800351380EA339599C9DB4&yid=9806D0D4EAA9BED3&vid=23CCDDCD68FFCC2F&iid=E158A972A605785F&sid=5DCBAAB000A70168&eid=4C2B9916B58305BE&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=2&reference_num=8