DeVito R P, Hamill J J
Siemens Gammasonics, Inc., Applied Physics and Research Group, Hoffman Estates, IL 60195-7372.
J Nucl Med. 1991 Feb;32(2):343-9.
Energy-weighted acquisition (EWA) is an image filtering technique, with a different spatial filter (weighting function) for each energy. The imaging characteristics of EWA are governed by the weighting functions used during the acquisition of the image. The determination of weighting functions is more complicated than the determination of energy windows in conventional imaging because the number of degrees of freedom is much greater. A methodology by which weighting functions can be produced is described. The weighting function is determined by minimizing a generalized chi-square with variable contributions from coefficients quantifying key image characteristics, e.g., signal-to-noise ratio, spatial resolution, and scatter fraction. Varying the importance of these characteristics gives us a workable function-generation tool, able to address a variety of clinical needs. The resulting weighting functions exhibit good scatter reduction properties at various scatter depths, as demonstrated by measurements of line source response functions in a scattering medium at depths from 5 to 14 cm. Energy weighting can also be used to compensate for collimator penetration from high energy gamma rays. Weighting functions are tested in the laboratory using both planar and SPECT phantoms.
能量加权采集(EWA)是一种图像滤波技术,对每个能量使用不同的空间滤波器(加权函数)。EWA的成像特性由图像采集过程中使用的加权函数决定。加权函数的确定比传统成像中能量窗的确定更为复杂,因为自由度的数量要多得多。本文描述了一种生成加权函数的方法。加权函数通过最小化广义卡方来确定,该广义卡方来自量化关键图像特征(如信噪比、空间分辨率和散射分数)的系数的可变贡献。改变这些特征的重要性为我们提供了一个可行的函数生成工具,能够满足各种临床需求。如在散射介质中对5至14厘米深度的线源响应函数进行测量所示,所得加权函数在各种散射深度下均表现出良好的散射减少特性。能量加权还可用于补偿高能伽马射线的准直器穿透。加权函数在实验室中使用平面和SPECT体模进行测试。