Improved Myocardial Perfusion Assessment using High-Performance Low-Field MRI

项目总结 该项目将开发和评估一种改进的心肌灌注评估工具，这将是简单的， 健壮，并提供改进的能力，以分解心肌层。我们将通过利用一本小说来实现这一点 高性能低场(HPLF)磁共振成像(MRI)平台。基本原理：冠状动脉 在美国，疾病(CAD)是主要的死亡原因。心肌灌注成像是一项必不可少的 病人管理和预测的工具。心肌首过灌注(FPP)MRI是领先的非 侵入性和无辐射技术；然而，它存在成像伪影、覆盖范围有限和限制 分解心肌层的能力。解决这些问题将提高我们检测、管理和 了解计算机辅助设计。创新：我们预计MRI FPP将极大地受益于HPLF MRI平台，因为它 承诺极大地减少伪影，并为提高空间覆盖率、空间分辨率和 时间分辨率。该项目将利用运行在0.55特斯拉的HPLF系统，以实现改进 心肌灌注评估，与目前在1.5特斯拉和3特斯拉系统上可能的情况进行了比较。我们 还将应用新的实时成像技术，以避免需要心电图(ECG)信号。 方法：我们将联合使用两种对比生成序列来开发0.55T全心MRI FPP 使用螺旋堆叠(SOS)采集-一种使用心电门控和饱和恢复准备，另一种 回顾确定稳定阶段的非门控方法。将针对SOS采样模式进行优化 心肌灌注测量的CNR、边界清晰度和精确度。实现了空间覆盖， 空间分辨率、时间分辨率和SNR/CNR将使用模特体、10次志愿者扫描、 以及10次病人扫描。然后，优化的HPLF方法将在一组已知的患者(N=20)中进行测试 非透壁性瘢痕，并与标准3T多层磁共振FPP进行比较，从技术上验证 检测非跨壁低灌注型，并评估相对伪影水平。更广泛的影响：这 项目将提供0.55T MRI FPP，与现有的相比，伪影减少，空间信息得到改善 在常规核磁共振场强下是可能的。从长远来看，这种方法可以改善诊断和 对CAD的评估。在这个项目中开发的成像方法将广泛地有益于心脏和动力学 在HPLF MRI平台上进行成像。

PROJECT SUMMARY This project will develop and evaluate an improved tool for myocardial perfusion assessment, that will be simple, robust, and provide improved ability to resolve myocardial layers. We will achieve this by leveraging a novel high-performance low-field (HPLF) magnetic resonance imaging (MRI) platform. Rationale: Coronary artery disease (CAD) is the leading cause of death in the United States. Myocardial perfusion imaging is an essential tool in patient management, and prognostication. Myocardial first-pass perfusion (FPP) MRI is the leading non- invasive and radiation-free technique; however, it suffers from imaging artifact, limited coverage, and limited ability to resolve myocardial layers. Resolving these issues will improve our ability to detect, manage, and understand CAD. Innovation: We expect MRI FPP to greatly benefit from the HPLF MRI platform, because it promises substantially reduced artifacts, and opportunities for improved spatial coverage, spatial resolution, and temporal resolution. This project will leverage an HPLF system operating at 0.55 Tesla, to achieve improved myocardial perfusion assessments, compared to what is possible today on 1.5 Tesla and 3 Tesla systems. We will also apply novel real-time imaging techniques to avoid the need for an electrocardiogram (ECG) signal. Approach: We will develop 0.55T whole-heart MRI FPP using two contrast generation sequences in combination with stack-of-spiral (SOS) acquisition—one that uses ECG-gating and saturation recovery preparation, and one ungated approach that retrospectively identifies stable phases. The SOS sampling pattern will be optimized for CNR, boundary sharpness, and precision of myocardial perfusion measurements. Achieved spatial coverage, spatial resolution, temporal resolution, and SNR/CNR will be measured using phantoms, 10 volunteer scans, and 10 patient scans. The optimized HPLF methods will then be tested in a cohort of patients (N=20) with known non-transmural scar, and compared with standard 3T multi-slice MRI FPP, to technically validate the ability to detect non-transmural patterns of hypoperfusion, and to evaluate relative artifact levels. Broader Impact: This project will provide 0.55T MRI FPP with reduced artifact and improved spatial information, compared to what is possible at conventional MRI field strengths. In the long term, this approach could improve the diagnosis and assessment of CAD. The imaging methods developed in this project will broadly benefit cardiac and dynamic imaging on HPLF MRI platforms.