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

摘要 具有示踪剂动力学建模的动态正电子发射断层扫描（PET）成像具有使 阿尔茨海默氏病和相关痴呆（ADRD）的定量表征，但患有侵袭性 血液采样和有限的空间分辨率用于成像小的脑脉管系统。高体积分辨率 在我们的R 01“高空间分辨率专用头颈部PET”下开发的（~1 mm 3）技术 基于碲锌镉的系统”可以创新地应用于改善ADRD成像效果。在 这个ADRD补充，我们将增加我们的大脑成像新技术，也开发了一个 优化导出的输入函数方法（ODIF），使我们的扫描仪能够提供准确的动态PET ADRD的成像，并为ADRD的早期检测和放射性示踪剂的定量提供临床见解 浓度;导致侵入性更小且更准确的成像。到目前为止，我们的R 01扫描仪， 已经证明了相互作用的深度<1 mm，高的多重相互作用光子事件恢复（准确性 >86%），以及全功能低噪声内部读出电子设备（在能量高于15 keV时触发， 通过注入511 keV的电荷当量的测试脉冲测量的1%FWHM的电子噪声）。这些特征 最大限度地减少溢出和部分容积效应，改善脑动力学的颈动脉源性输入功能 量化ODIF方法将有可能进一步提高我们的专用 系统，并且其可以应用于许多现有的用于ADRD成像的脑部专用扫描仪和临床扫描仪。 因此，我们的超高分辨率和模块化设计，具有高封装率（~99%）， 定位于改善ADRD成像，因为我们将在大脑专用系统中添加颈部成像仪， 高质量的成像输出。

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.