Application of Parzen window in filter back projection algorithm

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Yu, Shangmin^1

School of Electronic Information Engineering, Qingdao University, China^1

关键词: Ct image reconstruction;    Filter back-projection algorithms;    Filtered back projection;    High spatial resolution;    Quality of reconstructed images;    Reconstruction algorithms;    Reconstruction quality;    Reconstruction speed;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062183/pdf
DOI  :  10.1088/1757-899X/392/6/062183

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Image reconstruction is the core of CT technology, and the key factor to determine the quality of image reconstruction is the reconstruction algorithm. The algorithm has a direct impact on the accuracy of the image reconstruction results. In the CT image reconstruction algorithm, the filter back projection algorithm has a low time complexity and a high spatial resolution. At the same time, this algorithm is easily realized by parallel computing, which makes the speed of the reconstruction further improved, so this algorithm is a mainstream rebuilt algorithm. According to the principle of filtered back projection algorithm, the selection of filter function has a nonnegligible influence on image reconstruction results and reconstruction speed. First, based on the analysis of classic R-L and S-L filter functions, this paper introduces Parzen window filter function. Then this paper analyzes the quality of reconstructed image of Parzen window filter function in the absence of noise and noise conditions. Through the simulation experiment, it is verified that the Parzen window filter function has high spatial resolution while maintaining good image reconstruction quality.