King M A, Schwinger R B, Doherty P W, Penney B C
J Nucl Med. 1984 Nov;25(11):1234-40.
Two-dimensional filtering, both before and after reconstruction, has been applied to the processing of single photon emission computerized tomographic (SPECT) images. The filters investigated were the count-dependent Metz filter and Wiener filter, both of which automatically adapt to the image being processed. Using a SPECT phantom, with images reconstructed with these filters rather than the ramp, we observed a statistically significant increase (p less than 0.05) in the image contrast for solid Plexiglas spheres, and significant decrease (p less than 0.05) in the percent fractional standard deviation of counts in a region of uniform activity. The adaptability of these filters is demonstrated by a comparison of SPECT acquisitions of the phantom at two different count levels. An example of their application to clinical studies is presented. We conclude that two-dimensional digital image restoration with these techniques can produce a significant increase in SPECT image quality, with a small cost in processing time when these techniques are implemented on an array processor.
二维滤波在重建前后均已应用于单光子发射计算机断层扫描（SPECT）图像的处理。所研究的滤波器是计数依赖型梅茨滤波器和维纳滤波器，这两种滤波器都会自动适应正在处理的图像。使用一个SPECT体模，其图像用这些滤波器而非斜坡滤波器重建，我们观察到对于实心有机玻璃球体，图像对比度有统计学显著提高（p小于0.05），并且在均匀活性区域内计数的分数标准偏差百分比有显著降低（p小于0.05）。通过在两个不同计数水平下对体模进行SPECT采集的比较，证明了这些滤波器的适应性。给出了它们在临床研究中的应用实例。我们得出结论，当在阵列处理器上实施这些技术时，用这些技术进行二维数字图像恢复可显著提高SPECT图像质量，且处理时间成本较小。
