Reconstruction-free three dimensional positron emission imaging
免重建三维正电子发射成像
基本信息
- 批准号:10689205
- 负责人:
- 金额:$ 61.64万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2026-06-30
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAlgorithmsAnodesAreaBiomedical ResearchCherenkov RadiationClinicalComplementComputational algorithmDataData CollectionDetectionDevelopmentDiagnostic Neoplasm StagingDiscriminationDiseaseEventExcisionEyeFoundationsFutureGenerationsGeometryGlassGoalsHealthHospitalsImageImaging DeviceLeadLightLocationMachine LearningMeasuresMonte Carlo MethodNatureNoiseOpticsOutcomePatientsPerformancePhotonsPhysicsPositioning AttributePositronPositron-Emission TomographyPropertyRadiation Dose UnitRadioisotopesReaction TimeRefractive IndicesResolutionSamplingScanningSeriesSignal TransductionSystemTechniquesTechnologyThree-Dimensional ImageThree-Dimensional ImagingTimeTranslationsTubeVisionWorkbreast imagingclinical applicationclinical imagingclinical translationconvolutional neural networkdeep learningdesigndetection sensitivitydetectorflexibilityheart imaginghuman imagingimage reconstructionimaging platformimaging systemimprovedinnovationinstrumentationmachine learning algorithmnovelpersonalized carephotomultiplierportabilitypreservationprocess improvementprototyperadiotracerreal-time imagesreconstructionresponsescale upsignal processingsimulationtomographytooltreatment response
项目摘要
Project Summary/Abstract
A major advantage of coincidence detection of annihilation photons from positron-emitting radiotracers is the
availability of time-of-flight (TOF) information, and the ability to measure TOF differences to better localize the
positron emitter. Normally for positron emission tomography (PET), TOF information is used as a weighting
kernel during image reconstruction and results in an effective sensitivity gain that can be used to reduce radiation
dose, improve signal-to-noise ratio, or reduce scan duration. The magnitude of these benefits depend on the
TOF resolution, which is governed by the timing performance of the detectors. Current state of the art for PET
scanners is ~220 ps which corresponds to a localization of ~3.3 cm. A transformational change would occur,
however, if a TOF resolution of <30 ps could be achieved. This would localize events within 4.5 mm, allowing
images to be directly generated without a reconstruction algorithm at a spatial resolution that matches what is
achieved in clinical PET scanners today. We refer to this as direct positron emission imaging (PEI). With this
superb TOF resolution and reconstruction-free imaging, we enter a new regime where we expect major increases
in image signal-to-noise, both due to the additional TOF information, and the removal of noise amplification
inherent in reconstructing noisy data with noisy corrections from projection data. We propose to develop a first
proof-of-concept imaging system that uses ultra-fast detectors to directly produces cross-sectional images
without reconstruction and to quantify the performance of PEI both through simulations and experimentally.
Since direct PEI does not have the same sampling constraints for data collection as PET, it creates opportunities
for portable, and flexible imaging devices, with implications for patient-tailored or task-specific imaging
applications (i.e. cardiac or breast imaging), as well as open designs for general purpose applications.
To achieve the unprecedented TOF capabilities needed for direct PEI, we will exploit promptly emitted Cerenkov
radiation that is generated with <10 ps in certain materials, including scintillators, in response to a 511 keV
photon interaction. Our proposed novel detector design integrates a Cerenkov radiator directly into the entrance
window of an ultra-fast microchannel plate photomultiplier tube, which is the fastest photon detector currently
available with a response time of 25 ps. This approach eliminates all optical reflections between the point of light
generation and the photocathode, preserving the prompt timing nature of Cerenkov photons. We then combine
the integrated Cerenkov radiator detector with auxiliary photodetector read-out for robust coincidence detection,
and complement this with advanced signal processing algorithms we have pioneered using convolutional neural
networks to extract all possible timing information from the digitized detector waveforms and ultimately to perform
reconstruction-free imaging using only the digitized waveforms as input. In summary, we aim to prove that direct
PEI is possible, to characterize its properties and to provide the technological and algorithmic foundations for
eventual translation for human imaging.
项目总结/摘要
来自正电子发射放射性示踪剂的湮灭光子的符合检测的主要优点是
飞行时间(TOF)信息的可用性,以及测量TOF差异以更好地定位
正电子发射体通常对于正电子发射断层摄影(PET),TOF信息被用作加权
在图像重建过程中的核,并导致有效的灵敏度增益,可用于减少辐射
剂量,提高信噪比,或减少扫描持续时间。这些好处的大小取决于
TOF分辨率,这取决于探测器的定时性能。PET技术的现状
扫描仪为~220 ps,对应于~3.3 cm的定位。就会发生一个巨大的变化,
然而,如果可以实现<30 ps的TOF分辨率,则可以实现更高的分辨率。这将使事件定位在4.5 mm内,
在没有重建算法的情况下,以与
在临床PET扫描仪中实现。我们称之为直接正电子发射成像(PEI)。与此
高超的TOF分辨率和免重建成像,我们进入了一个新的制度,我们预计将大幅增加
在图像信噪比方面,既有由于TOF信息的附加,又有噪声放大的去除
这是利用来自投影数据的噪声校正来重建噪声数据所固有的。我们建议开发第一个
使用超快探测器直接产生横截面图像的概念验证成像系统
没有重建和量化性能的PEI通过模拟和实验。
由于直接PEI不具有与PET相同的数据收集采样约束,因此它创造了机会
用于便携式和灵活的成像设备,涉及患者定制或特定任务成像
应用(即心脏或乳腺成像),以及通用应用的开放式设计。
为了实现直接PEI所需的前所未有的TOF能力,我们将利用迅速发射的切伦科夫
在某些材料(包括微波炉)中,响应511 keV的辐射而产生的小于10 ps的辐射
光子相互作用我们提出的新型探测器设计将切伦科夫辐射器直接集成到入口
超快微通道板光电倍增管的窗口,这是目前最快的光子探测器
响应时间为25 ps。这种方法消除了光点之间的所有光学反射
产生和光电阴极,保持切伦科夫光子的即时定时性质。然后我们将联合收割机
集成的切伦科夫辐射探测器与辅助光电探测器读出稳健的符合检测,
并与我们率先使用卷积神经网络的先进信号处理算法进行补充,
网络从数字化的检测器波形中提取所有可能的定时信息,并最终执行
仅使用数字化波形作为输入的无重建成像。总之,我们的目的是证明,直接
PEI是可能的,以表征其属性,并提供技术和算法基础,
最终转化为人体成像。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Sun Il Kwon其他文献
The oil production performance analysis using discrete fracture network model with simulated annealing inverse method
- DOI:
10.1007/s12303-013-0034-y - 发表时间:
2013-07-05 - 期刊:
- 影响因子:1.500
- 作者:
Young Ho Jang;Tae Hun Lee;Ji Hun Jung;Sun Il Kwon;Won Mo Sung - 通讯作者:
Won Mo Sung
Sun Il Kwon的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Sun Il Kwon', 18)}}的其他基金
Time-of-flight positron emission tomography using Cerenkov luminescence in bismuth germanate
使用锗酸铋中的切伦科夫发光进行飞行时间正电子发射断层扫描
- 批准号:
10766104 - 财政年份:2023
- 资助金额:
$ 61.64万 - 项目类别:
Reconstruction-free three dimensional positron emission imaging
免重建三维正电子发射成像
- 批准号:
10504837 - 财政年份:2022
- 资助金额:
$ 61.64万 - 项目类别:
High-performance and cost-effective detector modules based on ultra-dense and fast ceramic scintillator for long axial field-of-view positron emission tomography
基于超密快速陶瓷闪烁体的高性能且经济高效的探测器模块,用于长轴视场正电子发射断层扫描
- 批准号:
10299559 - 财政年份:2021
- 资助金额:
$ 61.64万 - 项目类别:
High-performance and cost-effective detector modules based on ultra-dense and fast ceramic scintillator for long axial field-of-view positron emission tomography
基于超密快速陶瓷闪烁体的高性能且经济高效的探测器模块,用于长轴视场正电子发射断层扫描
- 批准号:
10474466 - 财政年份:2021
- 资助金额:
$ 61.64万 - 项目类别:
High-performance and cost-effective detector modules based on ultra-dense and fast ceramic scintillator for long axial field-of-view positron emission tomography
基于超密快速陶瓷闪烁体的高性能且经济高效的探测器模块,用于长轴视场正电子发射断层扫描
- 批准号:
10689100 - 财政年份:2021
- 资助金额:
$ 61.64万 - 项目类别:
Time-of-flight positron emission tomography using Cerenkov luminescence in bismuth germanate
使用锗酸铋中的切伦科夫发光进行飞行时间正电子发射断层扫描
- 批准号:
10376047 - 财政年份:2020
- 资助金额:
$ 61.64万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 61.64万 - 项目类别:
Continuing Grant