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
基本信息
- 批准号:8548339
- 负责人:
- 金额:$ 57.98万
- 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
- 起止时间:2012-09-20 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:AbdomenBrain imagingClinicalDataData CollectionDevelopmentDiagnosticDoseElementsGuidelinesHumanImageInjuryMetricModelingOutputPatientsPelvisPerformanceProtocols documentationRadiationReview LiteratureTask PerformancesTechniquesTechnologyTimeVariantWorkX-Ray Computed Tomographybaseclinical practicediagnostic accuracyevidence baseinformation gatheringreconstruction
项目摘要
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).
缺乏一个连贯的,以证据为基础的方法来确定“正确的”CT成像协议解释了一个
在很大程度上,在临床CT扫描中观察到的剂量和技术的相当大的变化,
最近受伤的病人接受CT脑成像。一个全面的,高效的,可翻译的
需要一种方法将CT剂量驱动到最低水平,以保持可接受的诊断准确性,
同时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,可以定量确定,对于特定的诊断任务,CT协议,提供
在最低的患者剂量下达到所需的诊断准确性。
本计画的目的是要在电脑断层影像品质与病人辐射剂量之间取得平衡
通过调查,超越当前的简单模型(例如标准差和CTDIvol),
基于任务的图像质量指标、观察者表现、患者体型和患者
次给药结束该项目是以前的第四个项目,在一个POL提案题为定量系统
开发剂量优化的CT成像方案(参见P01 EB 014221 -01)。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Cynthia H McCollough其他文献
Cynthia H McCollough的其他文献
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{{ truncateString('Cynthia H McCollough', 18)}}的其他基金
Quantitative, non-invasive characterization of urinary stone composition and fragility using multi-energy CT and machine learning techniques
使用多能量 CT 和机器学习技术对尿路结石成分和脆性进行定量、非侵入性表征
- 批准号:
10377461 - 财政年份:2019
- 资助金额:
$ 57.98万 - 项目类别:
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:
9901529 - 财政年份:2019
- 资助金额:
$ 57.98万 - 项目类别:
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:
10322422 - 财政年份:2019
- 资助金额:
$ 57.98万 - 项目类别:
Critical resources to evaluate CT scan techniques and dose reduction approaches
评估 CT 扫描技术和剂量减少方法的关键资源
- 批准号:
9261249 - 财政年份:2016
- 资助金额:
$ 57.98万 - 项目类别:
Photon-Counting Spectral CT to Reduce Dose and Detect Early Vascular Disease
光子计数能谱 CT 可减少剂量并检测早期血管疾病
- 批准号:
8921199 - 财政年份:2013
- 资助金额:
$ 57.98万 - 项目类别:
Critical resources to evaluate CT scan techniques and dose reduction approaches
评估 CT 扫描技术和剂量减少方法的关键资源
- 批准号:
8719101 - 财政年份:2013
- 资助金额:
$ 57.98万 - 项目类别:
Photon-Counting Spectral CT to Reduce Dose and Detect Early Vascular Disease
光子计数能谱 CT 可减少剂量并检测早期血管疾病
- 批准号:
8636831 - 财政年份:2013
- 资助金额:
$ 57.98万 - 项目类别:
Critical resources to evaluate CT scan techniques and dose reduction approaches
评估 CT 扫描技术和剂量减少方法的关键资源
- 批准号:
9134142 - 财政年份:2013
- 资助金额:
$ 57.98万 - 项目类别:
Critical resources to evaluate CT scan techniques and dose reduction approaches
评估 CT 扫描技术和剂量减少方法的关键资源
- 批准号:
8550930 - 财政年份:2013
- 资助金额:
$ 57.98万 - 项目类别:
Photon-Counting Spectral CT to Reduce Dose and Detect Early Vascular Disease
光子计数能谱 CT 可减少剂量并检测早期血管疾病
- 批准号:
9133377 - 财政年份:2013
- 资助金额:
$ 57.98万 - 项目类别:
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