Reconstruction from projections under time-frequency constraints
Reconstruction from projections under time-frequency constraints
复制标题
时频约束下的投影重建
DOI：
10.1109/42.387701
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发表时间：
1995
影响因子：
10.6
通讯作者：
A. Yagle
中科院分区：
文献类型：
--
作者：
B. Sahiner;A. Yagle
对计算机断层摄影（CT）图像进行低通滤波以降低噪声可以平滑或修改对医生非常重要的图像特征。在时频平面中，图像特征通常更容易识别和处理。作者使用时频分布的噪声CT图像的空间变化的过滤，约束的投影数据或重建图像的时频表示系数为零，在某些区域的时频平面。作者考虑了两种不同的应用：1）对投影数据进行滤波，然后进行图像重建; 2）直接对重建图像进行滤波。最小化的标准，受到约束，可以是一个确定性的最小加权扰动的给定的投影数据或随机最小均方误差的有色高斯噪声。结果表明，改进的线性空间不变滤波器处理图像。
Low-pass filtering computed tomography (CT) images to reduce noise may smooth or modify image features which are very important to the physician. Image features are often more easily identified and processed in the time-frequency plane. The authors use time-frequency distributions for spatially varying filtering of noisy CT images, constraining time-frequency representation coefficients of the projection data or of the reconstructed image to be zero in certain regions of the time-frequency plane. The authors consider two different applications: 1) filtering the projection data and then performing image reconstruction; and 2) filtering the reconstructed image directly. Criteria minimized, subject to constraints, may be either a deterministic minimum weighted perturbation of the given projection data or a stochastic minimum mean-square error in colored Gaussian noise. Results show improvement over processing the image with a linear spatially invariant filter.
影响因子：
2.5
作者：
MALLAT, S;HWANG, WL
通讯作者：
HWANG, WL