课题基金 / 基金详情

Ultra-High Performance Brain-dedicated PET scanner for Neurology and Neuro-oncology imaging

Ultra-High Performance Brain-dedicated PET scanner for Neurology and Neuro-oncology imaging
用于神经病学和神经肿瘤学成像的超高性能大脑专用 PET 扫描仪
批准号:
10737257
负责人:
Antonio Gonzalez Martinez
金额:
$54.27万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2028-07-31
关键词:
3-DimensionalAdoptedAlgorithmsAlzheimer&aposs DiseaseAnesthesia proceduresAreaBiochemicalBiochemical PharmacologyBiologicalBrainBrain DiseasesBrain imagingBrain regionCell NucleusCharacteristicsClinicalCollaborationsCorpus striatum structureCoupledDedicationsDementiaDevelopmentDevicesDiagnosisDiagnosticDiameterDiseaseDopamineDoseDrug MonitoringEarly DiagnosisEarly treatmentEffectivenessEventEvolutionExcisionExhibitsFundingGenerationsGoalsHeadHippocampusHumanImageIndustrializationLearningLesionLong-Term EffectsMachine LearningMagnetic Resonance ImagingMarketingMedicineMethodsModelingMonitorMonte Carlo MethodMotionMotivationNeurologicNeurologyNeurotransmittersNoiseNorepinephrineOperative Surgical ProceduresOrganOutcomeParkinson DiseasePathologyPatientsPediatricsPerformancePharmacologyPhysicsPositioning AttributePositronPositron-Emission TomographyProteinsRadiation exposureRadiation therapyRadioactiveResearchResearch PersonnelResolutionScanningShapesSignal TransductionSpecific qualifier valueStructureSubstantia nigra structureSystemTechnologyTimeTracerTreatment outcomeTumor BurdenWorkX-Ray Computed Tomographyabeta depositionattenuationbrain researchdetectorentorhinal corteximage reconstructionimprovedinstrumentationkinetic modellocus ceruleus structuremetabolic abnormality assessmentmetabolic imagingmillimetermolecular imagingnanomolarnervous system disorderneural networkneuro-oncologyneurochemistrynext generationnovelquantitative imagingsolid statetomographytooltreatment responsetumorultra high resolution

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中文摘要
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1 2个函数, 3个有 4空间分辨率和灵敏度。这种规格对神经学和神经肿瘤学疾病都有影响。在……里面 5前者,它们允许检测、量化和跟踪微小大脑区域的PET信号的微小变化 6例如,与许多神经疾病有关的大脑核团。在后一种情况下,它们提高了 7放射治疗和手术切除中肿瘤靶区体积定义的准确性,从而决定治疗结果。 8唯一商用的大脑专用PET是HRRT,这是一项已有20年历史的技术,现已停产。 因此,迫切需要开发下一代超高功率脑专用PET 改善诊断的10个规范,可以在疾病演变的早期建立治疗方法。 这项提案汇集了来自威尔·康奈尔医学公司(WCM)和 12分子成像仪器研究所(I3M)与工业合作伙伴Oncovision合作,建立 13超高性能脑专用PET,UHB-PET。UHB-PET将展示:(I)体积空间 14整个机架的分辨率为~0.5mm3,这是最好的大脑专用PET的4倍 15已开发;(J)有效灵敏度>是正在开发的具有最高空间分辨率的脑PET的26倍。 16我们密集的实验和蒙特卡罗模拟结果证明,我们的目标是高度可实现的, 17.我们将实现以下目标:具体 18最大化 19个视野 20和 21数量机 22学习准确确定511keV‘S相互作用在半整块板条内的3D位置,推断 23无CT扫描的衰减校正的正电子发射计算机断层扫描,最大限度地减少图像噪声,从而减少给药剂量),(D) 24使用预条件定点图像重建方法来抑制亚毫米级的噪声 25像素,(E)采用我们之前开发的运动跟踪工具,以在 26动态PET成像,以及(F)采用我们以前工作中的方法来准确地成像-推导输入函数 27用于动力学建模。具体目标3:评估图像噪声、目标病变可见度和定量准确性 28由扫描仪在一组特定的神经学和神经肿瘤学人类研究中获得。 29最终目标是一款完全可操作的超高性能专用脑部PET扫描仪,具有准确的 30诊断和监测脑部疾病治疗的量化能力。。 正电子发射断层扫描(PET)是研究代谢和生化的强有力的定量工具 活体大脑中的药理学和病理学。在过去的30年里,无数的大脑PET示踪器, 与此同时,PET在技术上经历了戏剧性的进步,使更高的 目标1:在2.5年内,我们将建立梯形的UHB-PET 灵敏度)连接到高性能SiPM读取器的半整体LYSO平板,轴向26.7厘米 直径约28 cm,高200ps探测器定时分辨率,各向同性空间分辨率;0.8 mm半高宽 0.72 mm交互深度(DOI)分辨率。具体的AIM2:与AIM1并行,我们将开发一个 图像重建工具。我们将(A)采用精确的物理建模,(B)使用
英文摘要
1 2 functions, 3 have 4 spatial resolution and sensitivity. Such specifications impact both neurologic and neuro-oncologic diseases. In 5 the former, they allow detecting, quantitating, and tracking small changes of PET signal in minute brain regions 6 such as brain nuclei that have been implicated in many neurologic diseases. In the latter, they improve the 7 accuracy of tumor target volume definition in radiotherapy and surgical resection, thus treatment outcome. 8 The only commercial brain-dedicated PET is the HRRT, a 2 decade old technology that has been discontinued. 9 Therefore, there is compelling need to develop the next generation brain-dedicated PET with ultra-high 10 specifications to improve diagnostics that can institute therapies earlier in the evolution of the disease. 11 This proposal brings together two highly collaborative teams from Weill Cornell Medicine (WCM) and the 12 Institute for Instrumentation in Molecular Imaging (i3M), with an industrial partner, Oncovision, to build an 13 ultra-high performance brain-dedicated PET, UHB-PET. UHB-PET will exhibit: (i) volumetric spatial 14 resolution of ~0.5mm3 across the gantry, that is >4x better than that of the best brain-dedicated PET being 15 developed; (j) effective sensitivity >26x that of the brain PET with the highest spatial resolution being developed. 16 Our intensive experimental and Monte Carlo simulation results prove that our goals are highly achievable, 17 which we will attain as follows: Specific 18 maximize 19 FOV 20 and 21 Quantitative machine 22 learning to accurately determine the 3D position of 511keV 's interaction within the semi-monolithic slab, infer the 23 attenuation-corrected PET without CT scans, and minimize image noise, thus reduce the administered dose), (d) 24 use a preconditioned fixed-point image reconstruction approach to suppress the noise in sub-millimeter size 25 pixels, (e) adopt motion tracking tool we previously developed to correct for inter- and intra- head motion during 26 dynamic PET imaging, and (f) adopt methods from our previous work to accurately image-derive the input function 27 for kinetic modeling. Specific Aim 3: Assessment of image noise, target lesion visibility and quantitative accuracy 28 attained by the scanner in a characteristic set of specific neurology and neuro-oncology human studies. 29 The ultimate goal is a fully operational ultra-high performance dedicated brain PET scanner with accurate 30 quantitative capabilities for diagnosing and monitoring treatment in brain diseases. . Positron Emission Tomography (PET) is a powerful quantitative tool for studying metabolic and biochemical pharmacology, and pathology in living brains. In the past 3 decades, a myriad of brain PET tracers, been developed.In parallel, PET underwent dramatic advancement in technology that enabled much higher Aim 1 : In 2.5 years we will build UHB-PET with trapezoidal-shape (to sensitivity) semi-monolithic LYSO slabs coupled to high-performance SiPM readout, 26.7cm axial and ~28cm diameter, high 200psec detector timing resolution, isotropic spatial resolution <0.8mm FWHM 0.72mm Depth-of-interaction (DOI) resolution. Specific AIM2 : In parallel with AIM1, we will develop a Image Reconstruction tool. We will (a) incorporate accurate physics modeling, (b) use
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