Development of advanced cardiac SPECT imaging technologies

项目摘要 单光子发射计算机断层扫描(SPECT)继续在诊断和诊断中发挥关键作用 冠心病(CAD)的管理。虽然传统的SPECT扫描仪使用平行孔 准直器仍然是心脏SPECT的基础，最近我们领域观察到了新的令人兴奋的增长 专用心脏扫描仪的发展。这种专用扫描仪，如GE Alcyone 530/570C 具有CZT探测器的系统和D-SPECT系统通常具有多个探测器收集 同时从心脏发射光子，导致敏感度显著提高(2-5X)。此外, GE系统使用针孔准直器，可以实现更高的分辨率。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 心肌血流量(MBF)和冠脉血流储备(CFR)的定量，高分辨分子 成像、多同位素成像、运动校正等。这些新应用中的大多数都是 只有使用专用扫描仪才能独特地实现。而专用的心脏SPECT系统可以改善 临床实践，并导致许多新的临床应用，这样的系统还远远没有优化到 充分发挥他们的巨大潜力。在这笔赠款中，我们建议系统地开发和优化创新 GE 530/570C系统的成像技术，以进一步提高其在各种疾病中的临床疗效 意义重大的方式。在目标1中，我们将开发和优化静态心脏SPECT成像方法。我们会 开发各种深度学习方法，并研究增加角度采样以减少 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，我们将 开发和验证双同位素SPECT方法。基于蒙特卡索模拟和深度学习的研究 将开发具有不同空间分布和快速动力学的示踪剂的方法。在所有三个目标中， 大型动物研究和人体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.