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

基本信息

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
项目类别：
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

项目摘要

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一个改进的工具，为for而强大的，并提供了解决心肌层的能力。高性能低场（HPLF）磁共振成像（MRI）平台疾病（CAD）是美国死亡的主要原因。患者管理和程序静态的工具。但是，侵入性和无辐射技术；解决心肌层的能力。了解CAD。承诺大大减少了伪像，并有机会改善空间覆盖范围，空间分辨率时间分辨率。与帖子相比，心肌灌注评估今天是1.5特斯拉和3个特斯拉系统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：我们将开发0.55吨全心MRI FPP，以对比组合形成造影剂的生成序列带有刺激性（SOS）采集 - 一种使用ECG-Gaturation ReToration Retoration，一个回顾性识别稳定阶段的方法。 CNR，边界清晰度和心肌灌注测量的精度。空间分辨率，时间分辨率和SNR/CNR将使用幻影，10次志愿者扫描，和10种患者扫描。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灌注的非传播模式，并为评估伪像的水平与什么相比从长远来看评估CAD。在HPLF MRI平台上进行成像。