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基于R-L-MS-L滤波函数的CT图像重建
引用本文:王晓鹏.基于R-L-MS-L滤波函数的CT图像重建[J].电视技术,2014,38(7):32-34,26.
作者姓名:王晓鹏
作者单位:中北大学仪器科学与动态测试教育部重点实验室;
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:针对卷积反投影CT图像重建算法(CBP)中采用传统滤波函数存在图像振荡,抗噪声性能差和图像细节模糊等问题,结合混合滤波器和多点加权平均的思想,提出了一种新的滤波函数即R-L-MS-L滤波函数,采用该滤波函数能够有效地抑制图像重建时的振荡,使重建后的图像更平滑,且其抗噪声性能比传统的滤波函数更高。实验仿真结果表明:采用R-L-MS-L滤波函数比传统的滤波函数有着更好的重建质量。

关 键 词:CBP  图像重建  滤波函数
收稿时间:2013/6/18 0:00:00
修稿时间:2013/7/11 0:00:00

CT Image Reconstruction Based on R-L-MS-L Filter Function
Wang xiao peng.CT Image Reconstruction Based on R-L-MS-L Filter Function[J].Tv Engineering,2014,38(7):32-34,26.
Authors:Wang xiao peng
Affiliation:North University of China
Abstract:Aim at convolution back projection algorithm (CBP) for CT image reconstruction existing image oscillation, poor anti-noise performance and image detail fuzzy. In this paper, based on the idea of weighted average and the hybrid filter, a new kind of filter function that is R-L-MS-L filter function is proposed. Compared with traditional filter function, the reconstruction image using this filter function can effectively inhibit oscillation and make reconstruction image smoother. In addition, its noise performance is higher than the traditional filter functions. The simulation and experiment results show that using R-L-MS-L filter function has better reconstruction quality than traditional filter functions.
Keywords:
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