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型的SPECT系统设计,通过在不牺牲成像分辨率的情况下大幅提高灵敏度来解决SPECT仪器最具限制性的方面之一。 这种方法是基于使用一种新的检测系统称为密集相机阵列(DCA)。正如我们已经证明了与蒙特卡洛研究中所描述的节。C.2,基于DCA探测器的小动物SPECT系统可以具有>1%的光子探测效率(与现代临床前SPECT仪器中发现的0.1%-0.01%的典型水平相比),同时保持优异的空间分辨率。这种灵敏度的显著增加可能会在我们如何在临床前和(潜在的)临床实践中使用SPECT成像方面提供根本性的变化,通过提供显著降低的检测限并允许难以用当前一代SPECT仪器实现的新成像程序。密集相机阵列(DCA)的设计灵感来自于小型无脊椎动物(如苍蝇和飞蛾)上常见的复眼。DCA照相机由紧密地封装在密集阵列中的大量独立的微针孔伽马照相机元件(例如,每平方厘米10-20个独立的照相机元件)组成。每个微型相机元件覆盖穿过物体的窄视角。当构建具有多个DCA的SPECT系统时,系统中将存在非常大量(多达几千个)的微型相机元件指向对象并同时收集伽马射线。这是实现超高检测效率的关键,同时保持出色的成像分辨率。构建DCA相机的关键挑战之一是需要一种最先进的检测器技术,该检测器技术为高能伽马射线提供100 - 3D空间分辨率(例如100 mm)、优异的能量分辨率、足够的计数率能力和非常高的阻止能力。这将使我们能够将10-20个独立的微型相机元件封装到1平方厘米的面积中,并确保每个微型相机元件具有足够的分辨率。对于这个项目,我们将利用最近开发的小像素CdTe/CZT探测器配备了一个混合像素波形读出系统,以构建原型DCA相机。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Simulation study of the second-generation MR-compatible SPECT system based on the inverted compound-eye gamma camera design.
  • DOI:
    10.1088/1361-6560/aaa4fb
  • 发表时间:
    2018-02-12
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Lai X;Meng LJ
  • 通讯作者:
    Meng LJ
System Modeling and Evaluation of a Prototype Inverted-Compound Eye Gamma Camera for the Second Generation MR Compatible SPECT.
用于第二代 MR 兼容 SPECT 的原型倒置复眼伽玛相机的系统建模和评估。
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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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    8702789
  • 财政年份:
    2014
  • 资助金额:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 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:
    $ 22.97万
  • 项目类别:

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