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Photon-Counting Spectral CT to Reduce Dose and Detect Early Vascular Disease

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
负责人:
Cynthia H McCollough
金额:
$112.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-30 至 2018-08-31

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中文摘要
翻译
描述(由申请人提供):我们的长期目标是在动脉粥样硬化的早期阶段,在出现症状后果之前,非侵入性地检测动脉粥样硬化,以及优化频谱CT以用于最终的临床应用。这项提议的目标是使用基于光子计数探测器的光谱CT来提供所需的空间分辨率和材料分辨灵敏度,其辐射剂量比基于积分探测器的传统CT要低得多。实现这一目标的意义在于,在心肌梗塞或中风等不可逆转的后果之前,对影响血管壁的病理机制(S)进行有效治疗,无论是在个人层面还是在社会层面上,都将显著更有效,成本更低。此外,我们建议的研究将为减少常规CT成像所需的辐射剂量以及需要提高材料识别灵敏度的光谱CT的其他应用提供必要的知识。该项目的创新之处在于使用了一种基于光子计数的探测器 开发和验证所需的采集、重建和处理技术的全身CT扫描仪。使用光谱CT的基本原理是,它提供了比其他非侵入性方法(如3D MRI和放射性核素成像)更高的时空分辨率,比传统CT受部分体积平均的影响更小,并且能够区分和量化所有相关斑块成分的浓度。此外,电子噪声对使用光子计数探测器的频谱CT的影响可以忽略不计。这一点很重要,因为将X射线光谱分解成提高材料分辨灵敏度所需的小能量箱,可以显著减少每个箱的光子计数。此外,利用能域相关性的降噪方法可以用来提高对低浓度材料的敏感性。因此,不需要增加辐射暴露。窄谱能量箱的使用也大大减少了由于动脉壁钙化和/或腔内对比造成的局部射束硬化效应。使我们能够实现目标的具体目标是:目标1-利用光子计数探测器技术开发用于全身光谱CT的优化采集、重建和处理技术。我们将全面确定频谱CT系统的特征;确定最佳能源箱的数量、宽度和位置;实施和评估降噪算法和算法,以区分和量化共定位斑块成分的浓度;确定系统精度并评估部分体积平均的影响。目的2-确定全身光谱CT识别人身体动脉粥样硬化斑块成分的敏感性和特异性。目的3-在麻醉猪中,使用基于碘的造影剂,量化主要动脉壁中的新生血管,作为动脉粥样硬化斑块形成的早期指标。
英文摘要
DESCRIPTION (provided by applicant): Our long-term objective is to non-invasively detect atherosclerosis in its earliest stages, before symptomatic consequences occur, as well as to optimize spectral CT for ultimate clinical use. The goal of this proposal is to use photon-counting-detector-based spectral CT to provide the required spatial resolution and material discrimination sensitivity at much lower radiation doses than would be possible using integrating-detector- based conventional CT. The significance of achieving this goal is that effective treatment of the pathological mechanism(s) affecting the vascular wall, prior to irreversible consequences such as myocardial infarction or stroke, would be considerably more effective, and less expensive, at both the individual and societal levels. Further, our proposed studies will provide knowledge essential for reducing the radiation doses required in routine CT imaging and for other applications of spectral CT that require increased sensitivity for material discrimination . The innovation of this project lies in the use of a photon-counting-detector-based whole-body CT scanner to develop and validate the needed acquisition, reconstruction, and processing techniques. The rationale for using spectral CT is that it offers improved spatio-temporal resolution over other non-invasive methods, such as 3D MRI and radionuclide imaging, is less affected by partial volume averaging than conventional CT, and is capable of discriminating and quantifying the concentration of all relevant plaque components. Also, the effects of electronic noise on spectral CT using photon-counting detectors are negligible. This is important because breaking the x-ray spectrum into the small energy bins needed for improved material discrimination sensitivity drastically reduces the photon counts per bin. Further, noise reduction methods that exploit energy domain correlations can be used to increase the sensitivity to low concentrations of materials. Thus, increased radiation exposures will not be required. Use of narrow spectral energy bins also greatly reduces the local beam hardening effects due to arterial wall calcification and/or intraluminal contrast. The specific aims that wil enable us to achieve our goal are: AIM 1 - Develop optimized acquisition, reconstruction and processing techniques for whole-body spectral CT with photon-counting detector technology. We will fully characterize the spectral CT system; determine the optimal number, width and location of energy bins; implement and evaluate noise reduction algorithms and algorithms to discriminate and quantify the concentration of co-localized plaque components; and determine system accuracy and evaluate the impact of partial volume averaging. AIM 2 - Determine the sensitivity and specificity of whole-body spectral CT for the identification of atherosclerotic plaque components in human cadavers. AIM 3 - In anesthetized pigs, quantify neovascularization in major arterial walls, as an early indicator of atherosclerotic plaque formation, using iodine-based contrast agents.
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Quantitative, non-invasive characterization of urinary stone composition and fragility using multi-energy CT and machine learning techniques
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    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:
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    9901529
  • 项目类别:
  • 资助金额:
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  • 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:
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  • 财政年份:
    2019
  • 负责人:
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  • 依托单位:
Critical resources to evaluate CT scan techniques and dose reduction approaches
  • 批准号:
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  • 项目类别:
  • 资助金额:
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  • 负责人:
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海外基金