Positronium lifetime imaging using TOF PET

使用 TOF PET 进行正电子寿命成像

基本信息

  • 批准号:
    10443873
  • 负责人:
  • 金额:
    $ 19.63万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-07-02 至 2024-04-30
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract Positron emission tomography (PET) is a high-sensitivity molecular imaging modality widely used in oncology, neurology, and cardiology, with the ability to observe molecular-level activities inside a living body through the injection of specific radioactive tracers with positron emitters. Recently it has been shown that the lifetime of positronium, a metastable state formed by a pair of electron and positron, is sensitive to the microenvironment of the surrounding tissue, such as oxygen pressure. Such information is valuable for cancer staging and treatment planning. However, currently there is no practical method to imaging the positronium lifetime at a spatial resolution matching that of PET due to the limited photon detection sensitivity and lack of proper image reconstruction method. This proposal addresses these problems by developing a statistically based image reconstruction method for positronium lifetime imaging (PLI) and combining it with the newly developed total- body EXPLORER PET scanner at UC Davis. We will demonstrate the effectiveness of the method using phantom experiments on the EXPLORER scanner. The advantage of the PLI is that the lifetime measurement is independent of the tracer concentration and can be used together with standard PET imaging. The combination of PLI and PET will add another dimension to current PET imaging and provide useful information for understanding the microenvironment of the tissue for studying various human diseases.
项目总结/文摘

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Positronium Lifetime Image Reconstruction for TOF PET.
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JINYI QI其他文献

JINYI QI的其他文献

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{{ truncateString('JINYI QI', 18)}}的其他基金

TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)
TRD3:数据分析和智能系统(AI-ML-DL-可视化)
  • 批准号:
    10649478
  • 财政年份:
    2022
  • 资助金额:
    $ 19.63万
  • 项目类别:
TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)
TRD3:数据分析和智能系统(AI-ML-DL-可视化)
  • 批准号:
    10424949
  • 财政年份:
    2022
  • 资助金额:
    $ 19.63万
  • 项目类别:
Positronium lifetime imaging using TOF PET
使用 TOF PET 进行正电子寿命成像
  • 批准号:
    10288242
  • 财政年份:
    2021
  • 资助金额:
    $ 19.63万
  • 项目类别:
Synergistic integration of deep learning and regularized image reconstruction for positron emission tomography
深度学习与正电子发射断层扫描正则化图像重建的协同集成
  • 批准号:
    9586688
  • 财政年份:
    2018
  • 资助金额:
    $ 19.63万
  • 项目类别:
Synergistic integration of deep learning and regularized image reconstruction for positron emission tomography
深度学习与正电子发射断层扫描正则化图像重建的协同集成
  • 批准号:
    9752639
  • 财政年份:
    2018
  • 资助金额:
    $ 19.63万
  • 项目类别:
Iterative Image reconstruction for high-resolution PET imaging
高分辨率 PET 成像的迭代图像重建
  • 批准号:
    7383846
  • 财政年份:
    2007
  • 资助金额:
    $ 19.63万
  • 项目类别:
Iterative Image reconstruction for high-resolution PET imaging
高分辨率 PET 成像的迭代图像重建
  • 批准号:
    7265565
  • 财政年份:
    2007
  • 资助金额:
    $ 19.63万
  • 项目类别:
Iterative Image reconstruction for high-resolution PET imaging
高分辨率 PET 成像的迭代图像重建
  • 批准号:
    7586255
  • 财政年份:
    2007
  • 资助金额:
    $ 19.63万
  • 项目类别:
Optimization of PET Imaging
PET 成像的优化
  • 批准号:
    8313653
  • 财政年份:
    2003
  • 资助金额:
    $ 19.63万
  • 项目类别:
Optimization of PET Imaging
PET 成像的优化
  • 批准号:
    7008824
  • 财政年份:
    2003
  • 资助金额:
    $ 19.63万
  • 项目类别:
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