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中文摘要
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描述(由申请人提供):心血管疾病普遍存在,死亡率和发病率高,造成巨大的社会和医疗成本。目前由于技术上的限制,迫切需要更高保真度、更低辐射剂量的心脏CT。虽然心脏CT技术从16排到320排,从单源到双源有了明显的进步,但在时间分辨率、空间分辨率、辐射剂量等方面仍存在技术挑战。基于弗吉尼亚理工大学和GE全球研究中心(GEGR)之间理想的学术-工业合作伙伴关系,我们积极推动心脏CT技术的发展,并定义下一代心脏CT系统。该项目的总体目标是开发新的心脏CT架构和相关的重建算法,并定义下一代心脏CT系统。具体目标是:(1)设计、分析和比较具有新源和扫描轨迹的新型心脏CT结构;(2)针对所提出的心脏CT结构,开发分析和迭代心脏CT重建算法,用于面向roi的扫描和动态成像;(3)在理论研究、数值模拟、模拟实验和观察者研究中评估和验证所提出的架构和算法。在本项目完成后,我们将挑选出最有前途的心脏CT架构和算法,在整个检查过程中同时实现16cm覆盖、50ms时间分辨率、20lp/cm空间分辨率、10HU噪声水平和5mSv有效剂量,并进行详细的规格和性能评估,为在二期项目中原型设计下一代心脏CT系统奠定基础。这个项目将在心脏CT方面取得巨大的飞跃,我们提出的心脏CT技术将使诊断性能显著提高,并带来重大的治疗效益,影响6180万美国人。
英文摘要
DESCRIPTION (provided by applicant): Cardiovascular diseases are pervasive with high mortality and morbidity at tremendous social and healthcare costs. There are urgent needs for significantly higher fidelity cardiac CT with substantially lower radiation dose, which is currently not possible because of technical limitations. Although cardiac CT technology has improved significantly from 16 to 320 detector rows and from single to dual source, there remain technical challenges in terms of temporal resolution, spatial resolution, radiation dose, and so on. Based on an ideal academic-industrial partnership between Virginia Tech and the GE Global Research Center (GEGR), we are motivated to advance the state-of-the-art in cardiac CT dramatically and define the next generation cardiac CT system. The overall goal of this project is to develop novel cardiac CT architectures and the associated reconstruction algorithms, and define the next-generation cardiac CT system. The specific aims are to (1) design, analyze and compare novel cardiac CT architectures with novel sources and scanning trajectories; (2) develop analytic and iterative cardiac CT reconstruction algorithms for ROI-oriented scanning and dynamic imaging for the proposed cardiac CT architectures; and (3) evaluate and validate the proposed architectures and algorithms in theoretical studies, numerical simulations, phantom experiments and observer studies. On completion of this project, we will have singled out the most promising cardiac CT architecture and algorithms to achieve 16cm coverage, 50ms temporal resolution, 20lp/cm spatial resolution, 10HU noise level, and 5mSv effective dose simultaneously for the entire examination, with detailed specifications and performance evaluation, setting the stage for prototyping a next-generation cardiac CT system in a Phase-II project. This project will make a quantum leap in cardiac CT, in the sense that our proposed cardiac CT technology will enable significantly better diagnostic performance and bring major therapeutic benefits that affect 61.8 million Americans. PUBLIC HEALTH RELEVANCE: Cardiovascular diseases are pervasive with high mortality and morbidity at tremendous social and healthcare costs. Cardiac CT technology needs major improvements to capture a fast beating heart with better image clarity at lower radiation dose. The overall goal of this project is to develop the next generation cardiac CT architecture and algorithms for significantly superior diagnostic performance and therapeutic outcomes that affect 61.8 million Americans.
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Constrained Disentanglement (CODE) Network for CT Metal Artifact Reduction in Radiation Therapy
  • 批准号:
    10184493
  • 项目类别:
  • 资助金额:
    $259.38万
  • 财政年份:
    2021
  • 负责人:
    Bruno De Man
  • 依托单位:
Deviceless and Autonomous Prospective Cardiac CT Triggering
Cardiac CT Deblooming
Deviceless and Autonomous Prospective Cardiac CT Triggering
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