Zeng Gengsheng L
Department of Engineering, Weber State University, Ogden, Utah 84408, United States of America.
Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah 84108, United States of America.
Biomed Phys Eng Express. 2018 Jul;4(4). doi: 10.1088/2057-1976/aac9af. Epub 2018 Jun 13.
In an iterative image reconstruction algorithm, it was demonstrated that the contrast-to-noise ratio in the final reconstruction could be improved if a low-pass filter was applied to the backprojction of the projection-domain discrepancy, and then this backprojection was used to update the image from the previous iteration. The goal of this paper is to extend this method to the weighted filtered backprojection (FBP) algorithm.
在一种迭代图像重建算法中,已证明如果对投影域差异的反投影应用低通滤波器,然后使用该反投影来更新上一次迭代的图像,则最终重建中的对比度噪声比可以得到改善。本文的目标是将此方法扩展到加权滤波反投影(FBP)算法。