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

Trade-offs in human observer performance, image quality metrics, and patient dose
人类观察者表现、图像质量指标和患者剂量的权衡
批准号:
8535318
负责人:
Cynthia H McCollough
金额:
$59.02万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-20 至 2017-08-31

项目摘要

项目成果

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中文摘要
翻译
缺乏一个连贯的、以证据为基础的方法来确定“正确的”CT成像方案向 在很大程度上,在临床CT扫描中观察到的剂量和技术上的相当大的差异 最近接受CT脑成像的患者的受伤情况。全面、省时且可翻译的 需要一种方法来将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日新月异的技术。我们的长期目标是开发和验证 对于特定的诊断任务,可以定量确定CT方案的定量方法 在最低患者剂量下所需的诊断准确性。 本项目的目的是确定CT图像质量和患者辐射剂量之间的权衡 以一种超越当前简单模型(例如标准差和CTDIvol.)的方式,通过研究 基于任务的图像质量指标、观察者表现、患者大小和患者之间的关系 剂量。这个项目以前是POL提案中的第四个项目,题为量化系统 剂量优化CT成像方案的开发[^POL EB014221-01]。
英文摘要
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).
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Quantitative, non-invasive characterization of urinary stone composition and fragility using multi-energy CT and machine learning techniques
  • 批准号:
    10377461
  • 项目类别:
  • 资助金额:
    $35.75万
  • 财政年份:
    2019
  • 负责人:
    Cynthia H McCollough
  • 依托单位:
Trade-offs in human observer performance, image quality metrics, and patient dose
  • 批准号:
    9901529
  • 项目类别:
  • 资助金额:
    $55.48万
  • 财政年份:
    2019
  • 负责人:
    Cynthia H McCollough
  • 依托单位:
Trade-offs in human observer performance, image quality metrics, and patient dose
  • 批准号:
    10322422
  • 项目类别:
  • 资助金额:
    $55.32万
  • 财政年份:
    2019
  • 负责人:
    Cynthia H McCollough
  • 依托单位:
Critical resources to evaluate CT scan techniques and dose reduction approaches
  • 批准号:
    9261249
  • 项目类别:
  • 资助金额:
    $10.2万
  • 财政年份:
    2016
  • 负责人:
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  • 依托单位:
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