Novel iterative image reconstruction methods can help reduce the required radiation dose in x-ray diagnostics such as computed tomography (CT), while maintaining sufficient image quality. Since some of the established image quality measures are not appropriate for reliably judging the quality of images derived by iterative methods, alternative approaches such as task-specific quality assessment would be highly desirable for acceptance or constancy testing. Task-based image quality methods are also closer to tasks performed by the radiologists, such as lesion detection. However, this approach is usually hampered by a huge workload, since hundreds of images are usually required for its application. It is demonstrated that the proposed approach works reliably on the basis of significantly fewer images, and that it correlates well with results obtained from human observers.

中文翻译：

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RDI [公式：参见文本]一种用于质量保证的回归可检测性指数：X射线成像。

新颖的迭代图像重建方法可以帮助减少X射线诊断（例如计算机断层扫描（CT））中所需的辐射剂量，同时保持足够的图像质量。由于某些已建立的图像质量度量不适用于可靠地判断通过迭代方法得出的图像质量，因此对于可接受性或稳定性测试，非常需要替代方法（例如特定于任务的质量评估）。基于任务的图像质量方法也更接近放射科医生执行的任务，例如病变检测。但是，由于通常需要数百张图像来应用，因此这种方法通常会受到很大的工作量的阻碍。事实证明，所提出的方法在显着减少图像的基础上可靠地工作，