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Enabling Brain Parametric Imaging of Alzheimer's disease with an Organ-dedicated PET

使用器官专用 PET 实现阿尔茨海默病的脑参数成像

基本信息

批准号：
10286644
负责人：
Shiva Abbaszadeh
金额：
$ 29.74万
依托单位：
UNIVERSITY OF CALIFORNIA SANTA CRUZ
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-30 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10286644
关键词：
3-Dimensional Alzheimer&apos s Disease Alzheimer&apos s disease related dementia Biological Models Blood Blood specimen Brain Brain imaging Brain scan Caliber California Carotid Arteries CdZnTe Cerebrovascular system Charge Clinical Clinical Data Common carotid artery Compton radiation Computer Simulation Consumption Crystallization Data Descending aorta Diagnosis Early Diagnosis Electronics Event Funding Geometry Head and neck structure Human Image Imaging Techniques Internal carotid artery structure Kinetics Left ventricular structure Length Location Magnetic Resonance Mathematics Measures Methods Modeling Monte Carlo Method National Institute of Biomedical Imaging and Bioengineering Neck Noise Organ Outcome Output Patients Performance Photons Physiologic pulse Positioning Attribute Positron-Emission Tomography Recovery Research Research Personnel Resolution System Techniques Technology Testing Time Tracer Universities base cost curve fitting design detector digital fluorodeoxyglucose human imaging imager imaging modality imaging system improved innovation innovative technologies insight instrumentation interest kinetic model new technology novel nuclear imaging parametric imaging prevent radiotracer simulation temporal measurement ultra high resolution

项目摘要

ABSTRACT Dynamic positron emission tomography (PET) imaging with tracer kinetic modeling has the potential to enable quantitative characterization of Alzheimer’s disease and related dementias (ADRD) but suffers from invasive blood sampling and limited spatial resolution for imaging small brain vasculature. The high volumetric resolution (~1 mm3) technology being developed under our R01 “High Spatial Resolution Dedicated Head and Neck PET System based on Cadmium Zinc Telluride” can innovatively be applied to improving ADRD imaging efforts. In this ADRD-supplement, we will augment our novel technology for brain imaging and also develop an optimization-derived input function method (ODIF) to enable our scanner to provide accurate dynamic PET imaging of ADRD and offer clinical insight into early detection of ADRD and the quantification of radiotracer concentrations; resulting in imaging that is less invasive and more accurate. Thus far, our scanner from the R01, has demonstrated a depth of interaction <1 mm, high multiple interaction photon event recovery (accuracy >86%), and fully-functional low-noise in-house readout electronics (trigger on energies above 15 keV with electronic noise of 1% FWHM measured by test pulse injecting charge equivalent of 511 keV). These features minimize the spillover and partial volume effects and improve the carotid-derived input function for brain kinetic quantification. The ODIF method will have the potential to further improve the performance of our dedicated system and it can be applied to many existing brain-dedicated scanners and clinical scanners for ADRD imaging. Therefore, our ultra-high resolution and modular design with high packing fraction (~99%) is excellently positioned to improve ADRD imaging as we will add a neck imager to brain-dedicated systems and have high- quality imaging output.

摘要