Trade-offs in human observer performance, image quality metrics, and patient dose

缺乏连贯的、基于证据的方法来确定“正确的”CT 成像方案，这解释了 在很大程度上，临床 CT 扫描中观察到的剂量和技术存在很大差异， 最近接受 CT 脑成像的患者受伤。全面、省时且可翻译 需要采取一种方法将 CT 剂量降至最低水平，以保持可接受的诊断准确性并 这样做的同时要跟上不断变化的技术。我们的长期目标是开发和验证 定量方法可以针对特定的诊断任务定量确定 CT 方案，从而提供 以最低患者剂量获得所需的诊断准确性。 该项目的目标是确定 CT 图像质量和患者辐射剂量之间的权衡 通过研究，以超越当前简单模型（例如标准差和 CTDIvol）的方式 基于任务的图像质量指标、观察者表现、患者体型和患者之间的关系 剂量。该项目之前是题为“定量系统化”的 POl 提案中的第四个项目 剂量优化CT成像方案的开发{^ PO1 EB014221-01)。

The lack of a coherent, evidence-based approach for determining the "right" CT imaging protocol explains to a large degree the considerable variation in doses and techniques observed in clinical CT scanning and the recent injuries to patients undergoing CT brain imaging. A comprehensive, time-efficient, and translatable approach is needed to drive CT doses to the lowest levels that maintain acceptable diagnostic accuracy and to do so while keeping up with ever-changing technology. Our long term objective is to develop and validate quantitative methodsthat can quantitatively determine, for a specific diagnostic task, CT protocols that deliver the needed diagnostic accuracy at the lowest patient dose. The obiective of this project is to determine the tradeoffs between CT image quality and patient radiation dose in a way that moves beyond current simple models (e.g. standard deviation and CTDIvol) by investigating the relationships between task-based metrics of image quality, observer performance, patient size, and patient dose. This project was previously the 4th project in a POl proposal entitled Quantitative systematic development of dose-optimized CT imaging protocols {^ POl EB014221-01).