Spectral signal-to-noise ratio and resolution assessment of 3D reconstructions
Spectral signal-to-noise ratio and resolution assessment of 3D reconstructions
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DOI：
10.1016/j.jsb.2004.10.011
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发表时间：
2005-03-01
影响因子：
3
通讯作者：
Trus, BL
中科院分区：
文献类型：
--
作者：
Unser, M;Sorzano, COS;Trus, BL
测量通过透射电子显微镜重建的三维3D的质量仍然是一个开放的问题。在本文中，我们扩展了光谱信噪比（SSNR）的适用性，以评估使用任何重建算法重建的3D体积。该方法的基础是测量数据与针对重建的3D映射计算的相应重新注射之间的一致性。文件重新构造算法的特质通过执行仅噪声的重建来考虑。这会导致3D SSNR的定义，该定义提供了3D重建质量的所有客观指标。此外，用于构建文件SSNR调用的信息可用于生成体积SSNR（VSSNR）。我们的方法克服文件需要将数据集分为两个。它还可以直接衡量重建算法本身的性能；后者通常不使用标准分辨率方法，而标准分辨率方法仅仅是集中精油的可重复性。 （c）2004 Elsevier Inc.保留所有权利。
Measuring the quality of three-dimensional 3D reconstructed by transmission electron microscopy is still an open problem. In this article, we extend the applicability of the spectral signal-to-noise ratio (SSNR) to the evaluation of 3D volumes reconstructed with any reconstruction algorithm. The basis of the method is to measure the consistency between the data and a corresponding set of reprojections computed for the reconstructed 3D map. The idiosyncrasies of file recosntruction algorithm are taken explicity into account by performing a noise-only reconstruction. This results ill the definition of a 3D SSNR which provides all objective indicator of the quality of the 3D reconstruction. Furthermore, the information to build file SSNR call be Used to produce a volumetric SSNR (VSSNR). Our method overcomes file need to divide the data set in two. It also provides a direct measure of the performance of the reconstruction algorithm itself; this latter information is typically not available with the standard resolution methods which are primarily focused oil reproducibility alone. (C) 2004 Elsevier Inc. All rights reserved.