Zeng Gengsheng L
Department of Engineering, Weber State University, Ogden, Utah, and Utah Center for Advanced Imaging Research (UCAIR), Department of Radiology, University of Utah, Salt Lake City, Utah.
J Nucl Med Technol. 2013 Dec;41(4):283-8. doi: 10.2967/jnmt.113.127399. Epub 2013 Oct 24.
Iterative maximum-likelihood expectation maximization and ordered-subset expectation maximization algorithms are excellent for image reconstruction and usually provide better images than filtered backprojection (FBP). Recently, an FBP algorithm able to incorporate noise weighting during reconstruction was developed. This paper compares the performance of the noise-weighted FBP algorithm and the iterative maximum-likelihood expectation maximization algorithm with Poisson noise-corrupted emission data generated by computer simulations and a SPECT experimental study. The results show comparable performance for these 2 algorithms.
迭代最大似然期望最大化算法和有序子集期望最大化算法在图像重建方面表现出色,通常能提供比滤波反投影(FBP)更好的图像。最近,开发了一种在重建过程中能够纳入噪声加权的FBP算法。本文比较了噪声加权FBP算法与迭代最大似然期望最大化算法的性能,使用计算机模拟和单光子发射计算机断层扫描(SPECT)实验研究生成的泊松噪声污染发射数据。结果表明这两种算法具有相当的性能。