Superhigh Sensitivity SPECT Imaging with Dense Camera Arrays

使用密集相机阵列进行超高灵敏度 SPECT 成像

基本信息

项目摘要

DESCRIPTION (provided by applicant): The long-term goal of this project is to develop a novel SPECT system design that tackles one of the most limiting aspects of SPECT instrumentations by offering a greatly improved sensitivity without sacrificing imaging resolution. This proposed approach is based on the use of a novel detection system called dense- camera-array (DCA). As we have demonstrated with a Monte Carlo study described in Sec. C.2, a small animal SPECT system based on the DCA detectors could a photon detection efficiency of >1% (as compared to the typical levels of 0.1%-0.01% found in modern pre-clinical SPECT instrumentations), while maintaining an excellent spatial resolution. This dramatic increase in sensitivity could potentially provide a radical change in how we might employ SPECT imagining in both pre-clinical and (potentially) clinical practice, by offering a dramatically lowered detecton limit and allowing for new imaging procedures that would be difficult to implement with the current generation of SPECT instrumentations. The design of dense camera array (DCA) is inspired by the compound eyes often found on small invertebrates, such as flies and moths. A DCA camera consists of a large number of independent micro-pinhole-gamma- camera-elements closely packed in a dense array (e.g. 10-20 independent camera-elements per cm2). Each of the micro-camera-elements covers a narrow view angular through the object. When constructing a SPECT system with multiple DCAs, there will be a very large number (up to several thousand) of micro-camera- elements in the system pointing towards the object and collecting gamma rays simultaneously. This is the key for attaining a super-high detection efficiency, while maintaining an excellent imaging resolution. One of the key challenges for constructing the DCA camera is the need for a state-of-art detector technology that offers an ultrahigh 3-D spatial resolution (e.g. 100mm), an excellent energy resolution, an adequate count-rate capability and a very high stopping power for energetic gamma rays. This would allow us to pack 10-20 independent micro-camera-elements into 1 cm2 area, and to ensure each micro-camera-element having a sufficient resolving power. For this project, we will utilize a recently developed small-pixel CdTe/CZT detector equipped with a hybrid pixel-waveform readout system to construct the prototype DCA cameras.
描述(由申请人提供):该项目的长期目标是开发一种新的SPECT系统设计,通过在不牺牲成像分辨率的情况下提供大大提高的灵敏度,解决SPECT仪器最受限制的方面之一。

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)

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Quanzheng Li其他文献

Quanzheng Li的其他文献

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{{ truncateString('Quanzheng Li', 18)}}的其他基金

Deep learning Based Phenotyping and Treatment Optimization for Heart Failure with Preserved Ejection Fraction
基于深度学习的射血分数保留的心力衰竭表型分析和治疗优化
  • 批准号:
    10444412
  • 财政年份:
    2022
  • 资助金额:
    $ 20.25万
  • 项目类别:
Deep learning Based Phenotyping and Treatment Optimization for Heart Failure with Preserved Ejection Fraction
基于深度学习的射血分数保留的心力衰竭表型分析和治疗优化
  • 批准号:
    10592341
  • 财政年份:
    2022
  • 资助金额:
    $ 20.25万
  • 项目类别:
TR&D2: Advanced Statistical Image Reconstruction & Physics Informed Artificial Intelligence for Quantitative PET/MR
TR
  • 批准号:
    10651773
  • 财政年份:
    2017
  • 资助金额:
    $ 20.25万
  • 项目类别:
Unified Joint Statistical Reconstruction of PET & MR
PET统一联合统计重建
  • 批准号:
    10263164
  • 财政年份:
    2017
  • 资助金额:
    $ 20.25万
  • 项目类别:
Superhigh Sensitivity SPECT Imaging with Dense Camera Arrays
使用密集相机阵列进行超高灵敏度 SPECT 成像
  • 批准号:
    8814222
  • 财政年份:
    2014
  • 资助金额:
    $ 20.25万
  • 项目类别:
Quantitative Methods for Clinical Whole Body Dynamic PET
临床全身动态 PET 的定量方法
  • 批准号:
    8237421
  • 财政年份:
    2011
  • 资助金额:
    $ 20.25万
  • 项目类别:
Quantitative Methods for Clinical Whole Body Dynamic PET
临床全身动态 PET 的定量方法
  • 批准号:
    8588924
  • 财政年份:
    2011
  • 资助金额:
    $ 20.25万
  • 项目类别:
Quantitative Methods for Clinical Whole Body Dynamic PET
临床全身动态 PET 的定量方法
  • 批准号:
    8399088
  • 财政年份:
    2011
  • 资助金额:
    $ 20.25万
  • 项目类别:
An Integrated Statistical Framework for Lesion Detection Using Dynamic PET
使用动态 PET 进行病变检测的综合统计框架
  • 批准号:
    8421579
  • 财政年份:
    2010
  • 资助金额:
    $ 20.25万
  • 项目类别:
An Integrated Statistical Framework for Lesion Detection Using Dynamic PET
使用动态 PET 进行病变检测的综合统计框架
  • 批准号:
    7877521
  • 财政年份:
    2010
  • 资助金额:
    $ 20.25万
  • 项目类别:

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