Development of advanced cardiac SPECT imaging technologies

先进心脏 SPECT 成像技术的开发

基本信息

批准号：
10673649
负责人：
Chi Liu
金额：
$ 79.76万
依托单位：
YALE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10673649
关键词：
Address Advanced Development Algorithms Amyloidosis Anatomy Animals Blood flow Cardiac Cardiomyopathies Charge Clinical Collimator Computed Tomography Scanners Coronary Coronary Arteriosclerosis DCNU Data Data Set Dedications Development Diagnosis Dose Event Foundations Grant Heart Human Hybrids Image Imaging technology Infarction Ischemia Isotopes Kidney Kinetics Maps Methods Microspheres Molecular Target Monte Carlo Method Motion Myocardial Myopathy Noise Patients Perfusion Photons Play Positioning Attribute Positron-Emission Tomography Radiation Dose Unit Resolution Role Rotation Sampling Spatial Distribution Study Subject System Tail Toxic effect Tracer Training Validation animal data attenuation cardiac single photon emission computed tomography clinical application clinical efficacy clinical imaging clinical practice contrast enhanced computed tomography convolutional neural network deep learning detector efficacy evaluation human data human subject image reconstruction imaging agent imaging modality improved innovation learning strategy molecular imaging new growth parametric imaging prospective reconstruction respiratory simulation single photon emission computed tomography success technology development

项目摘要

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.

项目摘要单光子发射计算机断层扫描 (SPECT) 在诊断和诊断方面继续发挥着关键作用冠状动脉疾病（CAD）的管理。而传统的 SPECT 扫描仪使用平行孔准直器仍然是心脏 SPECT 的基础，最近我们的领域观察到新的准直器的令人兴奋的增长专用心脏扫描仪的发展。此类专用扫描仪，例如 GE Alcyone 530/570c 系统和 D-SPECT 系统均配有 CZT 探测器，通常有多个探测器收集光子从心脏同时发射，从而显着提高灵敏度（2-5 X）。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）和冠状动脉血流储备（CFR）的量化，高分辨率分子成像、多同位素成像、运动校正等等。这些新应用大部分是仅使用专用扫描仪即可实现。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，此类系统还远未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 系统的成像技术进一步提高其在各种疾病中的临床疗效重要的方式。在目标 1 中，我们将开发和优化静态心脏 SPECT 成像方法。我们将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，我们将开发并验证方法动态 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。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT.

DOI：
10.1007/s00259-022-05718-8
发表时间：
2022-07
期刊：
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
影响因子：
9.1
作者：
Chen, Xiongchao;Zhou, Bo;Xie, Huidong;Shi, Luyao;Liu, Hui;Holler, Wolfgang;Lin, MingDe;Liu, Yi-Hwa;Miller, Edward J.;Sinusas, Albert J.;Liu, Chi
通讯作者：
Liu, Chi

Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.

DOI：
10.1109/tmi.2021.3082578
发表时间：
2021-12
期刊：
IEEE transactions on medical imaging
影响因子：
10.6
作者：
Shi L;Lu Y;Dvornek N;Weyman CA;Miller EJ;Sinusas AJ;Liu C
通讯作者：
Liu C

DuDoSS: Deep-learning-based dual-domain sinogram synthesis from sparsely sampled projections of cardiac SPECT.

DuDoSS：基于心脏 SPECT 稀疏采样投影的基于深度学习的双域正弦图合成。

DOI：
10.1002/mp.15958
发表时间：
2023
期刊：
Medical physics
影响因子：
3.8
作者：
Chen,Xiongchao;Zhou,Bo;Xie,Huidong;Miao,Tianshun;Liu,Hui;Holler,Wolfgang;Lin,MingDe;Miller,EdwardJ;Carson,RichardE;Sinusas,AlbertJ;Liu,Chi
通讯作者：
Liu,Chi

Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction.

通过深度学习增加角度采样以进行静态心脏 SPECT 图像重建。

DOI：
10.1007/s12350-022-02972-z
发表时间：
2023
期刊：
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
影响因子：
0
作者：
Xie,Huidong;Thorn,Stephanie;Chen,Xiongchao;Zhou,Bo;Liu,Hui;Liu,Zhao;Lee,Supum;Wang,Ge;Liu,Yi-Hwa;Sinusas,AlbertJ;Liu,Chi
通讯作者：
Liu,Chi