基于SART算法的层析图像重建

B.S. Sathish Kumar, G. Nagarajan
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引用次数: 0

摘要

随着x射线计算机断层扫描(CT)技术的系统和硬件的快速发展,图像重建算法也取得了同样令人兴奋的进展。迭代重建的作用在许多层析成像应用中得到了广泛的应用。使用基于迭代的重构算法比分析方法具有更多的优点。算法的发展大致可以分为三大类:解析重构、基于模型的迭代重构和特定应用的重构。本文对基于SART迭代的重构算法进行了仿真。然后用相对于原始图像的平均绝对误差来表示重建图像的质量。利用MATLAB工具进行仿真。利用radon变换进行了性能比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tomographic image reconstruction using SART algorithm
The rapid system and hardware development of X-ray computed tomography (CT) technologies has been accompanied by equally exciting advances in image reconstruction algorithms. The role of iteration reconstruction is widely used in many tomography applications. The use of iteration-based reconstruction algorithm offers more advantages than analytical methods. The development of algorithm can generally be classified into three major areas: analytical reconstruction, model-based iterative reconstruction and application-specific reconstruction. In this paper, the SART iteration-based reconstruction algorithm is simulated. Then the quality of the reconstructed image is expressed in terms of mean absolute error as compared to the original image. The simulation results are carried out using MATLAB tool. The performance comparisons are made using radon transform.
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