Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging

用于体内癌症成像的双模态 X 射线发光 CT

基本信息

  • 批准号:
    10360435
  • 负责人:
  • 金额:
    $ 56.91万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-12-01 至 2023-11-30
  • 项目状态:
    已结题

项目摘要

Dual Modality CT/X-ray Luminescence CT for in vivo Cancer Imaging ABSTRACT A combined X-ray CT and molecular imaging system, referred to as “CT/X-ray luminescence CT (XLCT)”, is proposed. The system uses X-ray as a single source to image anatomy and molecular features from simultaneous detection of luminescence signals of X-ray activatable molecular probes. In this technique, the spatial information is obtained by exciting the sample using spatially selective X-ray patterns while optical detectors placed around the sample measure luminescence photons diffusing out. Regardless of where these photons are detected, it is known that they are created somewhere on the path of the coded X-ray beams. This fundamental principle constitutes a new paradigm for imaging deep-seated light-emitting probes, with little background from tissue auto-fluorescence. Another significant advantage of XLCT is that X-ray excitation is amplified by orders of magnitude because of the extremely high quantum yield (2-4 orders of magnitude greater than 100%) of the radioluminescent materials. Toward establishing XLCT for various biomedical applications and eventually for clinical applications, we have assembled a multidisciplinary team consisting of leading investigators with expertise in CT imaging, molecular imaging, biochemistry, medical physics, computational science, and medicine, and established research themes that unify the common interests and expertise of these investigators. If successful, the hybrid CT/XLCT will overcome many of the limitations of CT and optical imaging methods and enable us to visualize biological processes in the anatomical CT image context with unprecedented sensitivity, specificity and spatial resolution. The novel dual modality imaging strategy will therefore significantly advance the field of cancer imaging and provide a valuable imaging tool for biological and clinical studies.
双模态CT/ x射线发光CT在体内肿瘤成像中的应用

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(1)

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Lei Xing其他文献

Lei Xing的其他文献

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{{ truncateString('Lei Xing', 18)}}的其他基金

Improving the Safety and Quality of Eye Plaque Brachytherapy by Assembly with Intensity Modulated Loading
通过调强加载组装提高眼斑近距离治疗的安全性和质量
  • 批准号:
    10579754
  • 财政年份:
    2023
  • 资助金额:
    $ 56.91万
  • 项目类别:
Development of AI-Augmented quality assurance tools for radiation therapy
开发用于放射治疗的人工智能增强质量保证工具
  • 批准号:
    10558155
  • 财政年份:
    2023
  • 资助金额:
    $ 56.91万
  • 项目类别:
Leveraging deep learning for markerless motion management in radiation therapy
利用深度学习进行放射治疗中的无标记运动管理
  • 批准号:
    10617647
  • 财政年份:
    2021
  • 资助金额:
    $ 56.91万
  • 项目类别:
Leveraging deep learning for markerless motion management in radiation therapy
利用深度学习进行放射治疗中的无标记运动管理
  • 批准号:
    10374171
  • 财政年份:
    2021
  • 资助金额:
    $ 56.91万
  • 项目类别:
Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging
用于体内癌症成像的双模态 X 射线发光 CT
  • 批准号:
    10530681
  • 财政年份:
    2018
  • 资助金额:
    $ 56.91万
  • 项目类别:
Radioluminescence dosimetry solution for precision radiation therapy
用于精准放射治疗的放射发光剂量测定解决方案
  • 批准号:
    10160833
  • 财政年份:
    2018
  • 资助金额:
    $ 56.91万
  • 项目类别:
Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging
用于体内癌症成像的双模态 X 射线发光 CT
  • 批准号:
    10089148
  • 财政年份:
    2018
  • 资助金额:
    $ 56.91万
  • 项目类别:
Radioluminescence dosimetry solution for precision radiation therapy
用于精准放射治疗的放射发光剂量测定解决方案
  • 批准号:
    10418642
  • 财政年份:
    2018
  • 资助金额:
    $ 56.91万
  • 项目类别:
DASSIM-RT and Compressed Sensing-Based Inverse Planning
DASSIM-RT 和基于压缩感知的逆规划
  • 批准号:
    9269990
  • 财政年份:
    2014
  • 资助金额:
    $ 56.91万
  • 项目类别:
DASSIM-RT and Compressed Sensing-Based Inverse Planning
DASSIM-RT 和基于压缩感知的逆规划
  • 批准号:
    8643085
  • 财政年份:
    2014
  • 资助金额:
    $ 56.91万
  • 项目类别:

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