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
DOI: 10.12677/mos.2024.134433, PDF,   
作者: 郎 旺, 袁英豪*：上海理工大学光电信息与计算机工程学院，上海
关键词: CT成像算法；算法仿真；三维重建；CT Imaging Algorithm； Algorithm Simulation； Three-Dimensional Reconstruction
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。
Abstract: 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.
文章引用：郎旺, 袁英豪. 基于THz-TDS图像数据集的CT算法仿真验证[J]. 建模与仿真, 2024, 13(4): 4792-4801. https://doi.org/10.12677/mos.2024.134433

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