Low-dose Myocardial Perfusion Imaging by CT
CT 低剂量心肌灌注成像
基本信息
- 批准号:8650918
- 负责人:
- 金额:$ 40.74万
- 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:2012-04-17 至 2017-03-31
- 项目状态:已结题
- 来源:
- 关键词:4D ImagingAlgorithmsAnatomyBehaviorBlood flowCardiacCatheterizationClinicalComputer softwareConsensusContrast MediaCoronary heart diseaseCoupledDataDiagnosticDiseaseDoseFlow-ItGoalsHeartImageImage EnhancementImaging TechniquesIonizing radiationKineticsKnowledgeLow Dose RadiationMainstreamingManufacturer NameMeasuresMethodsModelingMyocardialMyocardial perfusionNoiseNuclearPatientsPerformancePerfusionPhysiologyPositioning AttributePositron-Emission TomographyProceduresProcessProtocols documentationRadiationResolutionSamplingScanningSchemeSeveritiesTechniquesTimeTubeVariantWorkX-Ray Computed Tomographyattenuationbaseblood flow measurementclinical applicationdata acquisitionimage reconstructionimprovedmathematical modelnovelnovel strategiespatient safetyreconstructionresearch and developmentrestorationsimulationtool
项目摘要
DESCRIPTION (provided by applicant) The objective of this proposal is to develop clinically viable strategies for the quantitative estimation of myocardial blood flow (MBF) from dynamic computed tomography (CT) imaging with low radiation doses comparable to those received in common nuclear myocardial perfusion studies. Despite the proven clinical value of quantifying MBF (in ml/g/min), there are no widespread clinical methods to easily measure MBF in absolute units. Dynamic CT offers the potential to quantify flow, but the radiation dose imparted from these studies prohibits widespread acceptance. The specific aims of the proposal are to develop 1) optimal myocardial blood flow estimation methods, 2) low-dose dynamic CT acquisition strategies for MBF estimation, 3) unbiased data restoration algorithms and 4) image reconstruction methods based on trading off spatial resolution for noise reduction and constraining noise with a priori knowledge. These aims will be developed with simulations of dynamic contrast enhanced CT imaging and evaluated with patient exams. We hypothesize that accurate subendo- and subepi-cardial MBF estimates can be determined with low- dose dynamic CT through selection of acquisition strategies and judicious application of noise reduction strategies. This work proposes novel low-dose acquisition and data/image enhancement strategies to enable accurate quantitative estimates of blood flow in absolute units of ml/g/min. These methods will allow for substantial reductions in radiation dose, which is essential for patient safety, clinical application of dynamic CT for MBF measurement, and for other proven applications of dynamic CT. This work will position cardiac dynamic CT as a safe, easy, and widely available tool for quantitative MBF estimation, providing valuable clinical information for quantification of flow limiting disease, minimizing unnecessary catheterization procedures, informing therapy choices, and developing new therapies.
描述(由申请人提供)本提案的目的是开发可行的临床可行策略,以定量估计动态计算机断层扫描(CT)成像的心肌流动(MBF),其辐射剂量低,可与常见的核心肌灌注研究相当。尽管量化MBF的临床价值(以ML/g/min为单位),但尚无广泛的临床方法来轻松地测量绝对单位的MBF。动态CT提供了量化流量的潜力,但是从这些研究中赋予的辐射剂量禁止接受广泛接受。该提案的具体目的是开发1)最佳的心肌血流估计方法,2)低剂量动态CT估算的动态CT采集策略,3)基于对降低噪音和先前知识的空间分辨率的差异分辨率的无偏数据恢复算法和4)图像重建方法。这些目标将通过动态对比度增强CT成像的模拟开发,并通过患者检查进行评估。我们假设可以通过选择采集策略并明智地应用降低降噪策略来确定准确的亚内多和亚皮亚和亚皮亚电脑MBF估计值。这项工作提出了新型的低剂量获取和数据/图像增强策略,以实现ML/G/min绝对单位中血流的准确定量估计。这些方法将大大减少辐射剂量,这对于患者安全至关重要,动态CT用于MBF测量以及动态CT的其他经过验证的应用。这项工作将将心脏动态CT定位为一种安全,简单且可广泛的工具,用于定量MBF估计,为量化流量限制疾病的量化提供了宝贵的临床信息,最大程度地减少了不必要的导管插入程序,为治疗选择提供了信息,并开发了新的疗法。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Adam M Alessio其他文献
Adam M Alessio的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Adam M Alessio', 18)}}的其他基金
Development of Artificial Intelligence (AI) based algorithms to classify the Pneumoconioses
开发基于人工智能(AI)的算法来对尘肺病进行分类
- 批准号:
10428946 - 财政年份:2022
- 资助金额:
$ 40.74万 - 项目类别:
Development of Artificial Intelligence (AI) based algorithms to classify the Pneumoconioses
开发基于人工智能 (AI) 的算法来对尘肺病进行分类
- 批准号:
10709621 - 财政年份:2022
- 资助金额:
$ 40.74万 - 项目类别:
Automatic Rib Fracture Detection in Pediatric Radiography to Identify Non-Accidental Trauma
儿科放射线照相中的自动肋骨骨折检测以识别非意外创伤
- 批准号:
9976563 - 财政年份:2019
- 资助金额:
$ 40.74万 - 项目类别:
相似国自然基金
分布式非凸非光滑优化问题的凸松弛及高低阶加速算法研究
- 批准号:12371308
- 批准年份:2023
- 资助金额:43.5 万元
- 项目类别:面上项目
资源受限下集成学习算法设计与硬件实现研究
- 批准号:62372198
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
基于物理信息神经网络的电磁场快速算法研究
- 批准号:52377005
- 批准年份:2023
- 资助金额:52 万元
- 项目类别:面上项目
考虑桩-土-水耦合效应的饱和砂土变形与流动问题的SPH模型与高效算法研究
- 批准号:12302257
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
面向高维不平衡数据的分类集成算法研究
- 批准号:62306119
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
A Novel Framework for Sensitive and Reliable Early Diagnosis, Topographic Mapping, and Stiffness Classification of Colorectal Cancer Polyps
一种用于结直肠癌息肉敏感且可靠的早期诊断、地形测绘和硬度分类的新框架
- 批准号:
10742476 - 财政年份:2023
- 资助金额:
$ 40.74万 - 项目类别:
4D Multimodal Image-Based Modeling for Bicuspid Aortic Valve Repair Surgery
二叶式主动脉瓣修复手术的 4D 多模态基于图像的建模
- 批准号:
10420584 - 财政年份:2022
- 资助金额:
$ 40.74万 - 项目类别:
4D Multimodal Image-Based Modeling for Bicuspid Aortic Valve Repair Surgery
二叶式主动脉瓣修复手术的 4D 多模态基于图像的建模
- 批准号:
10608141 - 财政年份:2022
- 资助金额:
$ 40.74万 - 项目类别:
Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamics
通过心房动力学 4D CT 成像结合计算流体动力学研究心房颤动患者特异性血栓形成风险
- 批准号:
10687837 - 财政年份:2021
- 资助金额:
$ 40.74万 - 项目类别:
Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamics
通过心房动力学 4D CT 成像结合计算流体动力学研究心房颤动患者特异性血栓形成风险
- 批准号:
10317985 - 财政年份:2021
- 资助金额:
$ 40.74万 - 项目类别: