图像质量
成像体模
核医学
能量(信号处理)
数据集
剂量学
辐射
医学影像学
迭代重建
图像噪声
医学
人工智能
物理
计算机科学
光学
数学
图像(数学)
统计
作者
Lifeng Yu,Andrew N. Primak,Xin Liu,Cynthia H. McCollough
摘要
In dual‐source dual‐energy CT, the images reconstructed from the low‐ and high‐energy scans (typically at 80 and 140 kV, respectively) can be mixed together to provide a single set of non‐material‐specific images for the purpose of routine diagnostic interpretation. Different from the material‐specific information that may be obtained from the dual‐energy scan data, the mixed images are created with the purpose of providing the interpreting physician a single set of images that have an appearance similar to that in single‐energy images acquired at the same total radiation dose. In this work, the authors used a phantom study to evaluate the image quality of linearly mixed images in comparison to single‐energy CT images, assuming the same total radiation dose and taking into account the effect of patient size and the dose partitioning between the low‐and high‐energy scans. The authors first developed a method to optimize the quality of the linearly mixed images such that the single‐energy image quality was compared to the best‐case image quality of the dual‐energy mixed images. Compared to 80 kV single‐energy images for the same radiation dose, the iodine CNR in dual‐energy mixed images was worse for smaller phantom sizes. However, similar noise and similar or improved iodine CNR relative to 120 kV images could be achieved for dual‐energy mixed images using the same total radiation dose over a wide range of patient sizes (up to 45 cm lateral thorax dimension). Thus, for adult CT practices, which primarily use 120 kV scanning, the use of dual‐energy CT for the purpose of material‐specific imaging can also produce a set of non‐material‐specific images for routine diagnostic interpretation that are of similar or improved quality relative to single‐energy 120 kV scans.
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