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

使用高性能低场 MRI 改进心肌灌注评估

• 批准号: 10453361
• 负责人: Krishna S Nayak
• 金额: $ 24.75万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10453361
• 关键词: 3-Dimensional; Algorithms; Assessment tool; Back; Blood flow; Cardiac; Cardiac health; Catheterization; Cause of Death; Cicatrix; Clinical Protocols; Computer software; Coronary; Coronary Arteriosclerosis; Data; Diagnosis; Discipline of Nuclear Medicine; Electrocardiogram; Generations; Germany; Heart; Image; Imaging Device; Imaging Techniques; Institution; Ionizing radiation; Magnetic Resonance Imaging; Maps; Measurement; Measures; Methods; Modeling; Morphologic artifacts; Motion; Myocardial; Myocardial Infarction; Myocardial Ischemia; Myocardial perfusion; Myocardium; Operating System; Patient risk; Patients; Pattern; Performance; Perfusion; Perfusion Weighted MRI; Phase; Preparation; Property; Radiation; Recovery; Resolution; Rest; Sampling; Scanning; Signal Transduction; Slice; Source; Stress Tests; Symptoms; System; Techniques; Testing; Time; United States; base; cardiac implant; cohort; compliance behavior; coronary perfusion; cost; digital; evaluation/testing; flexibility; healthy volunteer; heart imaging; hypoperfusion; image reconstruction; imaging modality; imaging platform; implantable device; improved; in vivo; individual patient; innovation; magnetic field; novel; perfusion imaging; prognostication; real-time images; simulation; temporal measurement; tool; volunteer

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.

项目摘要 该项目将开发并评估改进的心肌灌注评估工具，这将很简单， 强大，并提供改进的解决心肌层的能力。我们将利用小说来实现这一目标 高性能低场（HPLF）磁共振成像（MRI）平台。理由：冠状动脉 疾病（CAD）是美国死亡的主要原因。心肌灌注成像是必不可少的 患者管理和提示中的工具。心肌第一频繁灌注（FPP）MRI是领先的非 - 侵入性和无辐射技术；但是，它具有成像伪像，有限的覆盖范围和有限 能够解决心肌层的能力。解决这些问题将提高我们检测，管理和 了解CAD。创新：我们希望MRI FPP从HPLF MRI平台中受益匪浅，因为它 承诺大大减少伪影，以及改善空间覆盖范围，空间分辨率和 临时分辨率。该项目将利用在0.55 Tesla运行的HPLF系统，以提高 与当今1.5特斯拉和3个特斯拉系统的今天可能的情况相比，心肌灌注评估。我们 还将应用新颖的实时成像技术，以避免需要心电图（ECG）信号。 方法：我们将使用两个组合形成造影剂序列开发0.55吨全心MRI FPP 使用堆栈（SOS）获取 - 一种使用ECG门控和饱和恢复准备，一个 回顾性地识别稳定阶段的未经测量方法。 SOS采样模式将针对 CNR，边界清晰度和心肌灌注测量的精度。实现了空间覆盖范围， 空间分辨率，临时分辨率和SNR/CNR将使用幻影，10次志愿者扫描测量， 和10次患者扫描。然后，优化的HPLF方法将在一组患者（n = 20）中进行测试 非变形疤痕，并与标准3T多板MRI FPP进行比较，以技术验证能力 检测非转化灌注的非传播模式，并评估相对伪影水平。更广泛的影响：这 与什么相比 在常规的MRI场优势下可能。从长远来看，这种方法可以改善诊断和 评估CAD。该项目中开发的成像方法将广泛受益心脏和动态 在HPLF MRI平台上进行成像。