Design and Development of SyMPET: System on chip Modular readout for high-resolution TOF-PET
Design and Development of SyMPET: System on chip Modular readout for high-resolution TOF-PET
批准号:
10385669
负责人:
Kevin Flood
金额:
$26.3万
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
项目状态:
已结题
起止时间:
2021-09-30 至 2023-04-30
关键词:
AffectArchitectureBrainBrain imagingBudgetsBuffersCharacteristicsCommunicationConsumptionContrast MediaCrystallizationDataDetectionDevelopmentDevicesDiagnostic ImagingDimensionsDiseaseDoseEarly DiagnosisElectronicsElementsEquilibriumFamilyGoalsHealthcareImageImage EnhancementIndividualInternationalKnowledgeLegal patentLengthLettersLibrariesLightManufacturer NameMeasuresMedical DeviceMedical ImagingMethodsMissionModelingMonte Carlo MethodNeurodegenerative DisordersNoiseNuclear PhysicsPathologyPatient imagingPatientsPerformancePhasePositron-Emission TomographyPreventionProcessProductionProviderResolutionRiskSamplingSemiconductorsSignal TransductionSiliconSpeedSystemTechniquesTechnologyTestingTimeUnited StatesWeightWidthWorkanalogbasebody systembonecontrast imagingcostdata streamsdensitydesigndetectordiagnostic technologiesexperienceflexibilityimaging capabilitiesimaging systemimprovedinterestmicrochipnovelparticle physicsportabilityprototypesensorsignal processingsimulation
中文摘要
项目摘要
纳鲁科学有限责任公司(NSL)提出开发和优化基于SiPM的设计,
用于TOF-PET的低功率、高通道密度、波形数字化读出微芯片,
提高图像质量并为PET脑部提供更准确和精确量化
影像学,有可能显着提高神经退行性疾病的早期诊断
同时还允许在个性化患者成像的开发中具有更大的灵活性
战略布局NSL的专利波形数字化“片上系统”读出ASIC技术,
从当前状态大幅改善TOF-PET成像的潜力。在第一阶段,
我们将在使用NSL技术所获得的经验和知识的基础上,
开发最先进的高能和核物理探测器,
PET成像读出系统通过提高SNR、图像对比度和质量,
曝光时间/剂量,并降低系统成本,以推动广泛的接受。这些
改进最初将集中在大脑PET成像,但可以扩展到全身
系统.我们将利用NSL现有的低功耗、低成本WFD ASIC设计产品组合,
已经被证明在大粒子物理探测器中工作,以实现PET特定的WFD
ASIC针对脑部PET扫描仪进行了优化,但同样适用于全身。我们将初步
发展详细的分析模型的光的生产和运输在闪烁晶体,沿着
与传感器和读出电子现实的蒙特卡罗模拟,以获得
完全优化的TOF-PET WFD读出芯片以及
作为基本上基于电路设计元件的“裸骨”实现,
一个或多个现有的NSL芯片设计。NSL的“片上系统”WFD架构,
可随机访问的模拟存储、输入触发和片上控制能力,
许多非常有效的机制来科普设计问题,例如,吞吐量,
在WFC ASIC的技术规范中,速度和缓冲区长度对于优化至关重要
其满足性能目标,同时满足
物理和其他特性,如尺寸,重量,功率和成本,将需要在
任何实际的TOF-PET系统。我们将与Hamid Sabet博士(哈佛)合作,
真实的全信号链+读出模型,并随后评估其结果,
用于大幅改进WFD读出的ASIC技术规范和架构设计
用于TOF-PET系统的ASIC相对于当前技术水平。
英文摘要
PROJECT SUMMARY
Nalu Scientific LLC (NSL) proposes to develop and optimize the design of a SiPM-based,
low-power, high channel density, waveform-digitizing readout microchip for TOF-PET that will
increase image quality and provide more accurate and precise quantization for PET brain
imaging, with the potential to significantly improve early diagnosis of neurodegenerative disease
while also allowing greater flexibility in the development of personalized patient imaging
strategies. NSL’s patented waveform-digitizing “System on Chip” readout ASIC technology has
the potential to substantially improve TOF-PET imaging from its current state. During Phase I,
we will build on the prior experience and knowledge we have gained using NSL’s technology in
developing state-of-the-art high energy and nuclear physics detectors to substantially improve
PET imaging readout systems through increased SNR, image contrast and quality, reduced
exposure times/dose, and reduced system cost to drive broad acceptance. These
improvements will initially focus on brain PET imaging but can be expanded to whole-body
systems. We will leverage NSL’s existing portfolio of low-power, low-cost WFD ASIC designs,
already proven to work in large particle physics detectors, to implement a PET-specific WFD
ASIC optimized for brain PET scanners but equally applicable to whole-body. We will initially
develop detailed analytic modeling of light production and transport in scintillating crystals, along
with realistic Monte Carlo simulations of sensor and readout electronics in order to derive
baseline technical specifications for both a fully optimized TOF-PET WFD readout chip as well
as a “bare-bones” implementation substantially based on circuit design elements derived from
one or more existing NSL chip designs. NSL’s “System on Chip” WFD architecture, with fully
random accessible analog storage, input triggering, and on-chip control capability, allows for a
number of highly effective mechanisms to cope with design issues such as e.g., throughput,
speed, and buffer length, will be crucial to optimize in the technical specification of a WFC ASIC
which meets performance goals while simultaneously fulfilling the stringent constraints on
physical and other characteristics such as size, weight, power, and cost that will be required in
any realistic TOF-PET system. We will collaborate with Dr. Hamid Sabet (Harvard) to define a
realistic full signal chain + readout model and subsequently evaluate its results to generate
ASIC technical specifications and architectural design for a substantially improved WFD readout
ASIC for TOF-PET systems relative to the current state of the art.
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