Enhanced resolution for EPR imaging by two-step deblurring

Enhanced resolution for EPR imaging by two-step deblurring
复制标题

DOI:
10.1016/j.jmr.2006.10.007
复制
发表时间:
2007-02-01
影响因子:
2.2
通讯作者:
Kuppusamy, Periannan
Kuppusamy, Periannan
中科院分区:
化学3区
文献类型:
--
作者:
Ahmad, Rizwan;Clymer, Bradley;Kuppusamy, Periannan

文献摘要

被引文献

相似文献

用于电子顺磁共振成像 (EPRI) 的自旋探针的广谱性导致重建图像的空间分辨率较差。传统的反卷积程序可以在一定程度上提高分辨率,但获得高分辨率 EPR 图像仍然是一个挑战。在这项工作中,我们实现并分析了采集后去模糊技术的性能,以增强 EPR 图像的空间分辨率。该技术包括两个步骤;非迭代反卷积,然后对获取的投影进行迭代反卷积,然后使用滤波反投影 (FBP) 进行投影,以重建高分辨率图像。此外,我们提出了一种用于迭代重建算法的类似技术,例如乘法同时迭代重建技术(MSIRT),它可以成为许多应用的选择方法。使用计算机模拟和 EPRI 实验评估所建议的去模糊方法的性能。结果表明,所提出的程序在均方误差 (MSE)、空间分辨率和视觉判断方面优于标准 FBP 和标准迭代重建算法。尽管该过程是针对 2D 成像进行描述的,但它可以轻松扩展到 3D 成像。 (c) 2006 Elsevier Inc. 保留所有权利。
The broad spectrum of spin probes used for electron paramagnetic resonance imaging (EPRI) result in poor spatial resolution of the reconstructed images. Conventional deconvolution procedures can enhance the resolution to some extent but obtaining high resolution EPR images is still a challenge. In this work, we have implemented and analyzed the performance of a postacquisition deblurring technique to enhance the spatial resolution of the EPR images. The technique consists of two steps; noniterative deconvolution followed by iterative deconvolution of the acquired projections which are then projected back using filtered backprojection (FBP) to reconstruct a high resolution image. Further, we have proposed an analogous technique for iterative reconstruction algorithms such as multiplicative simultaneous iterative reconstruction technique (MSIRT) which can be a method of choice for many applications. The performance of the suggested deblurring approach is evaluated using computer simulations and EPRI experiments. Results suggest that the proposed procedure is superior to the standard FBP and standard iterative reconstruction algorithms in terms of mean-square-error (MSE), spatial resolution, and visual judgment. Although the procedure is described for 2D imaging, it can be readily extended to 3D imaging. (c) 2006 Elsevier Inc. All rights reserved.