基于THz-TDS图像数据集的CT算法仿真验证  

Simulation Validation of CT Algorithm Based on THz-TDS Image Dataset

作　　者：郎旺 袁英豪 Wang Lang;Yinghao Yuan(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海

出　　处：《建模与仿真》2024年第4期4792-4801,共10页Modeling and Simulation

摘　　要：本文通过仿真和实验数据验证了一种改进的计算机断层扫描(CT)重建算法。首先,利用MATLAB中的Shepp-Logan头模型对滤波反投影(Filtered Back Projection,FBP)算法进行了仿真。随后,使用Python编写了CT成像算法,并以太赫兹时域光谱(Terahertz Time-Domain Spectroscopy,THz-TDS)数据集为基础进行验证。最终,利用图像处理软件ImageJ对获得的二维断层重建图进行三维重建。This paper validates an improved algorithm for computed tomography(CT)reconstruction through simulation and experimental data.First,the Filtered Back Projection(FBP)algorithm was simulated using the Shepp-Logan head model in MATLAB.Next,a CT imaging algorithm was implemented in Python and validated using a dataset from Terahertz Time-Domain Spectroscopy(THz-TDS).Finally,the two-dimensional reconstructed slices were processed into a three-dimensional reconstruction using ImageJ.

关 键 词：CT成像算法 算法仿真 三维重建 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]