摘要
在X射线断层成像(XCT)技术中,卷积反投影(CBP)是CT断层图像重建中一种很重要的方法,滤波是卷积反投影方法的重要环节,而重建图像的质量和滤波函数的好坏直接相关。为了提高重建图像的质量,首次提出先加权平均后线性混合的方法,基于卷积反投影重建算法理论,设计一种新滤波函数。通过仿真实验计算和分析,给投影数据加入不同强度系数的高斯随机噪声,并分别用新滤波函数和传统滤波函数进行重建,发现新滤波函数对所重建图像的质量较传统滤波函数有明显的改善。
In X -ray computed tomography (XCT), the convolution back projection(CBP) is core algorithm of the CT image reconstruction, and the filter function is an essential part of CBP, the choice of Filter function will directly affect the quality of the reconstructed image. In order to improve the image quality, we design a new fil- ter function which is first weighted mean then linear complex based on the CBP theory. We do the simulation calculations with different intensity coefficient Gaussian random noise to the projection data by new and tradi- tional Filter function. The simulation result show that the new filter function is better than conventional filter function for the CT image reconstruction.
出处
《核电子学与探测技术》
CAS
CSCD
北大核心
2012年第12期1388-1393,共6页
Nuclear Electronics & Detection Technology
基金
中国科学院方向性项目
应用同步辐射"细胞CT"技术描绘重大生命活动中细胞内部结构的解剖学形貌
基于上海光源软X射线谱学显微实验站低温纳米CT研制(kJCX2-YW-N38)