The purpose of this study was to develop a computational phantom for validation of automatic noise calculations applied to all parts of the body, to investigate kernel size in determining noise, and to validate the accuracy of automatic noise calculation for several noise levels. The phantom consisted of objects with a very wide range of HU values, from −1000 to +950. The incremental value for each object was 10 HU. Each object had a size of 15 × 15 pixels separated by a distance of 5 pixels. There was no dominant homogeneous part in the phantom. The image of the phantom was then degraded to mimic the real image quality of CT by convolving it with a point spread function (PSF) and by addition of Gaussian noise. The magnitude of the Gaussian noises was varied (5, 10, 25, 50, 75 and 100 HUs), and they were considered as the ground truth noise (N G ). We also used a computational phantom with added actual noise from a CT scanner. The phantom was used to validate the automa...

中文翻译：

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开发用于验证 CT 图像中自动噪声测量的计算模型

本研究的目的是开发一种计算模型，用于验证应用于身体所有部位的自动噪声计算，研究确定噪声的核大小，并验证几种噪声级别的自动噪声计算的准确性。幻像由具有非常广泛的 HU 值范围的对象组成，从 -1000 到 +950。每个对象的增量值为 10 HU。每个对象的大小为 15 × 15 像素，相隔 5 像素。幻影中没有显着的同质部分。然后通过将其与点扩散函数 (PSF) 进行卷积并添加高斯噪声，对模型的图像进行降级以模拟 CT 的真实图像质量。高斯噪声的大小是变化的（5、10、25、50、75 和 100 HU），它们被认为是真实噪声（NG）。我们还使用了一个计算模型，并添加了来自 CT 扫描仪的实际噪声。幻影用于验证自动...