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

摘要 采用示踪剂动力学建模的动态正电子发射断层扫描(PET)成像有可能使 侵袭性阿尔茨海默病和相关痴呆(ADRD)的定量特征 小脑血管成像的血液采样和有限的空间分辨率。高体积分辨率 (~1mm3)技术在我们的R01“高空间分辨率专用头颈部PET下开发 基于碲化锌镉的成像系统“可以创新性地应用于改善ADRD成像效果。在……里面 这个ADRD补充，我们将加强我们的新技术的脑成像，并开发一个 优化派生输入函数法(ODIF)，使我们的扫描仪能够提供准确的动态PET 对ADRD进行成像，为ADRD的早期发现和放射性示踪剂的定量提供临床依据 浓度；从而使成像更具侵入性和更准确。到目前为止，我们的扫描仪来自R01， 已经展示了相互作用的深度&lt；1毫米，高多次相互作用光子事件恢复(精度 &gt；86%)，以及全功能低噪声内部读出电子设备(能量超过15keV时触发，带 用测试脉冲注入当量为511keV的电荷测量1%半高宽的电子噪声)。这些功能 最大限度地减少溢出效应和部分体积效应并改善颈动脉派生的脑动力输入函数 量化。ODIF方法将有可能进一步提高我们的专用 它可以应用到许多现有的脑专用扫描仪和临床扫描仪上进行ADRD成像。 因此，我们的超高分辨率和高填充分数(~99%)的模块化设计是非常出色的 定位于改进ADRD成像，因为我们将在大脑专用系统中添加颈部成像器，并拥有高 高质量的图像输出。

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.