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本文引用的文献

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Noise and edge artifacts in maximum-likelihood reconstructions for emission tomography.发射型断层成像中最大似然重建的噪声和边缘伪影。
IEEE Trans Med Imaging. 1987;6(3):228-38. doi: 10.1109/TMI.1987.4307831.
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Detector response restoration in image reconstruction of high resolution positron emission tomography.高分辨率正电子发射断层成像中探测器响应恢复。
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Pragmatic fully 3D image reconstruction for the MiCES mouse imaging PET scanner.用于MiCES小鼠成像PET扫描仪的实用全3D图像重建
Phys Med Biol. 2004 Oct 7;49(19):4563-78. doi: 10.1088/0031-9155/49/19/008.
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Noise properties of the EM algorithm: I. Theory.期望最大化（EM）算法的噪声特性：I. 理论
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Quantitative comparison of FBP, EM, and Bayesian reconstruction algorithms for the IndyPET scanner.IndyPET扫描仪的FBP、EM和贝叶斯重建算法的定量比较。
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Comparison of 3-D maximum a posteriori and filtered backprojection algorithms for high-resolution animal imaging with microPET.用于微PET高分辨率动物成像的三维最大后验概率算法与滤波反投影算法的比较。
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Resolution and noise properties of MAP reconstruction for fully 3-D PET.全三维正电子发射断层显像（PET）中最大后验概率（MAP）重建的分辨率与噪声特性
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High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner.使用微型正电子发射断层扫描仪进行高分辨率3D贝叶斯图像重建。
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将探测器模糊纳入小动物PET扫描仪图像重建对图像噪声的影响

Impact on Image Noise of Incorporating Detector Blurring into Image Reconstruction for a Small Animal PET Scanner.

作者信息

Lee Kisung, Miyaoka Robert S, Lewellen Tom K, Alessio Adam M, Kinahan Paul E

出版信息

IEEE Trans Nucl Sci. 2009 Oct 19;56(5):2769-2776. doi: 10.1109/tns.2009.2021610.

DOI:10.1109/tns.2009.2021610
PMID:20161545
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2805005/
Abstract

We study the noise characteristics of an image reconstruction algorithm that incorporates a model of the non-stationary detector blurring (DB) for a mouse-imaging positron emission tomography (PET) scanner. The algorithm uses ordered subsets expectation maximization (OSEM) image reconstruction, which is used to suppress statistical noise. Including the non-stationary detector blurring in the reconstruction process (OSEM(DB)) has been shown to increase contrast in images reconstructed from measured data acquired on the fully-3D MiCES PET scanner developed at the University of Washington. As an extension, this study uses simulation studies with a fully-3D acquisition mode and our proposed FORE+OSEM(DB) reconstruction process to evaluate the volumetric contrast versus noise trade-offs of this approach. Multiple realizations were simulated to estimate the true noise properties of the algorithm. The results show that incorporation of detector blurring (FORE+OSEM(DB)) into the reconstruction process improves the contrast/noise trade-offs compared to FORE+OSEM in a radially dependent manner. Adding post reconstruction 3D Gaussian smoothing to FORE+OSEM and FORE+OSEM(DB) reduces the contrast versus noise advantages of FORE+OSEM(DB).

摘要

我们研究了一种图像重建算法的噪声特性，该算法为小鼠成像正电子发射断层扫描（PET）扫描仪纳入了非平稳探测器模糊（DB）模型。该算法使用有序子集期望最大化（OSEM）图像重建，用于抑制统计噪声。在华盛顿大学开发的全3D MiCES PET扫描仪上采集的测量数据重建的图像中，在重建过程中纳入非平稳探测器模糊（OSEM(DB)）已被证明可提高对比度。作为一项扩展研究，本研究采用全3D采集模式的模拟研究以及我们提出的FORE+OSEM(DB)重建过程，来评估该方法的体积对比度与噪声之间的权衡。模拟了多个实例以估计该算法的真实噪声特性。结果表明，与FORE+OSEM相比，在重建过程中纳入探测器模糊（FORE+OSEM(DB)）以径向依赖的方式改善了对比度/噪声权衡。对FORE+OSEM和FORE+OSEM(DB)添加重建后3D高斯平滑会降低FORE+OSEM(DB)在对比度与噪声方面的优势。