Development of advanced cardiac SPECT imaging technologies

项目摘要 单光子发射计算机断层扫描（SPECT）继续在诊断和治疗中发挥关键作用。 冠状动脉疾病（CAD）的管理。虽然使用平行孔的常规SPECT扫描仪 准直器仍然是心脏SPECT的基础，最近我们的领域观察到一个令人兴奋的增长， 专用心脏扫描仪的发展。这种专用扫描仪，例如GE Alcyone 530/570 c 具有CZT探测器的D-SPECT系统和D-SPECT系统通常具有多个探测器， 同时从心脏发出的光子，导致显着提高灵敏度（2-5倍）。此外，本发明还提供了一种方法， GE系统使用针孔准直器并且可以实现高得多的分辨率。这些专用扫描仪 为具有重大临床影响的新应用打开了大门，包括超低剂量成像，绝对 定量心肌血流量（MBF）和冠状动脉血流储备（CFR），高分辨率分子 成像、多同位素成像、运动校正等等。这些新的应用程序大多是 只有使用专用扫描仪才能实现。虽然专用心脏SPECT系统可以改善 临床实践并导致许多新的临床应用，但是这样的系统远未被优化以 充分发挥他们的巨大潜力。在这项赠款中，我们建议系统地开发和优化创新 GE 530/570 c系统的成像技术，以进一步提高其在各种 重要的方式。在目标1中，我们将开发和优化静态心脏SPECT成像的方法。我们将 开发各种深度学习方法，并研究增加角度采样的方法， 噪声，并提高分辨率和定量精度。在目标2中，我们将开发和验证以下方法： 动态SPECT成像，特别是涉及直接参数图像重建。在目标3中，我们 开发和验证双同位素SPECT的方法。基于蒙特卡罗模拟和深度学习的 将为具有不同空间分布和快速动力学的示踪剂开发方法。在这三个目标中， 大型动物研究和人类受试者数据将用于优化和验证。

Project Abstract Single Photon Emission Computed Tomography (SPECT) continues to play a critical role in the diagnosis and management of coronary artery disease (CAD). While conventional SPECT scanners using parallel-hole collimators are still the foundation of cardiac SPECT, recently our field observed an exciting growth of new developments of dedicated cardiac scanners. Such dedicated scanners, such as the GE Alcyone 530/570c systems and the D-SPECT systems both with CZT detectors, typically have multiple detectors collecting photons emitted from the heart simultaneously, leading to dramatically improved sensitivity (2-5 X). In addition, the GE systems use pinhole collimators and can achieve much higher resolution. These dedicated scanners opened doors to new applications with significant clinical impact, including ultra-low-dose imaging, absolute quantification of myocardial blood flow (MBF) and coronary flow reserve (CFR), high resolution molecular imaging, multi-isotope imaging, motion correction, and many more. Most of these new applications are uniquely achievable only using dedicated scanners. While the dedicated cardiac SPECT systems can improve clinical practice and lead to numerous new clinical applications, such systems are far from being optimized to fully realize their great potentials. In this grant, we propose to systematically develop and optimize innovative imaging technologies for the GE 530/570c systems to further improve its clinical efficacy in a variety of significant ways. In Aim 1, we will develop and optimize methods for static cardiac SPECT imaging. We will develop various deep learning methods and investigate approaches to increase angular sampling to reduce noise, and improve resolution and quantitative accuracy. In Aim 2, we will develop and validate methods for dynamic SPECT imaging, particularly involving direct parametric image reconstruction. In Aim 3, we will develop and validate methods for dual-isotope SPECT. Monte Carso simulation and deep learning based methods will be developed for tracers with different spatial distributions and fast kinetics. In all three aims, large animal studies and human subject data will be used for optimization and validation.