1) filtered back-projection
滤波-逆投影
1.
New filtered back-projection algorithm
新的滤波-逆投影成像算法
2) filtered back-projection
滤波逆投影
1.
In this paper,we propose a new algorithm based on sub-aperture and filtered back-projection algorithm to estimate the anisotropy of object s scattering centers in wide-aperture imaging.
文中将滤波逆投影算法与子孔径思想相结合,提出了一种提取目标散射中心方向特性的方法。
3) CT arithmetic
滤波-逆投影算法
4) middle-field CT arithmetic
中场滤波-逆投影算法
1.
In this paper,middle-field CT arithmetic is put up and can realize the microwave imaging of target.
文中给出的中场滤波-逆投影算法,能在较小转角内对中场区目标进行良好的二维成像。
2.
Based on classic rotator mode,spherical wave focus integral arithmetic and middle-field CT arithmetic as two new imaging methods are presented in this paper,which realized the microwave imaging of target in middle-field.
基于经典的转台成像模型,本文提出球面波聚焦卷积积分法和中场滤波-逆投影算法,实现了中场区目标的微波成像。
5) projection filtering
投影滤波
1.
It is therefore model-inconsistent, f-x projection filtering(PJF) can avoid the model-inconsistency.
研究讨论一种 f -x投影滤波方法可以避免产生这种不一致性。
6) Filter back-projection
滤波反投影
1.
The simulation results demonstrate that the boundary of an object,and the boundary and density of a flaw can be distinguished obviously by filter back-projection reconstruction using ρ-filter along the cone in the scanning mode of cone incidence of X-ray source.
对扁平构件的仿真结果表明:在射线源为锥束入射扫描方式下,通过分布在锥面上的ρ滤波器进行滤波反投影重建,得到的重建切片图像能够明显区分物体的边界及内部缺陷的边界和密度,空间分辨率可达到2 lp/mm,密度分辨率达到了1%,验证了该重建算法的可行性。
2.
Its projection data rebin pre-processing method and filter back-projection reconstruction algorithm were deduced.
为解决大尺寸构件快速ICT(Industrial Computed Tomography)成像问题,提出了一种通过检台2次偏置扩大扫描视场的ICT成像方法,并基于三代ICT投影数据存在的冗余特征,推导了它的投影数据重排预处理方法和滤波反投影(FBP,Filter Back-Projection)重建算法。
3.
The fan-beam filter back-projection algorithm is analyzed,and according to the characters of this algorithm,a method to accelerate the running speed of this algorithm is proposed.
介绍了由投影重建图像的基本原理,对扇束滤波反投影重建算法进行了分析,并针对该算法的特点提出了一种提高算法求解速度的方法。
补充资料：滤波反投影或卷积反投影
滤波反投影或卷积反投影
影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中，无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution)，即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正，然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单，速度快，所得图像逼真、清晰。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条