x线CT迭代重建的四种最小化方法研究

IEEE Nuclear Science Symposium Conference Record, 2005 Pub Date : 2005-10-23 DOI:10.1109/NSSMIC.2005.1596895

B. De Man, S. Basu, Jean-Baptiste Thibault, J. Hsieh, J. Fessier, C. Bouman, K. Sauer

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引用次数: 32

摘要

本文比较了四种不同的CT迭代重构最小化方法:(1)迭代坐标下降法(ICD)，(2)共轭梯度法(CG)，(3)有序子集可分抛物替代法(OS)，(4)收敛有序子集法(COS)。除了证明所有方法都能得到相同的最终图像外，本文还指出了所研究方法的迭代次数和收敛时间

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A study of four minimization approaches for iterative reconstruction in X-ray CT

This paper compares four different minimization approaches for iterative reconstruction in CT:(1) iterative coordinate descent approach (ICD), (2) conjugate gradient approach (CG), (3) separable parabolic surrogate approach with ordered subsets (OS), and (4) convergent ordered subsets approach (COS). In addition to showing that all approaches result in the same final image, the paper gives an indication of the number of iterations and time to convergence for the studied approaches

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IEEE Nuclear Science Symposium Conference Record, 2005

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