%0 Journal Article
%T Image superreconstruction for Micro-CT based on compressed sensing<br>压缩感知在Micro-CT图像超分辨重建中的应用
%A Wang Liyan
%A Wei Zhihui
%A Luo Shouhua
%A Gu Ning
%A <br>王丽艳
%A 韦志辉
%A 罗守华
%A 顾宁
%J 中国图象图形学报
%D 2012
%I 
%X In Micro-CT systems,further improvement of the spatial resolution of the reconstructed images is limited by the X-ray dose level,the pixel pitch,and the aperture of the detector element.In this paper,we study a total variation (TV) based optimization model for Micro-CT reconstruction based on an up-sampling of the reconstruction grid with original detector and X-ray dose.Using an extension of the gradient projection method,an alternating minimization algorithm is employed to solve the corresponding energy function.In the process of the minimization,the treatment is separated into the gradient step of the fit-to-data term,the total variation (TV) denoising,and the specific linear combination of the previous two points.Experiments on simulated data as well as real Micro-CT data are performed.Our results show that the proposed approach can dramatically improve the spatial resolution of the reconstructed images compared to the conventional Filter Back-Projection algorithm.
%K super-resolution reconstruction
%K compressed sensing
%K micro-CT
%K total variation regularization<br>超分辨率重建
%K 压缩感知
%K 显微计算机辅助断层摄影技术
%K 总变差正则化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F5538A1A32709A30D017600BE54F55B9&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=E158A972A605785F&sid=036D726259190A01&eid=8C267C8DC97FEEEF&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=20