Novel Accelerated Contrast-Enhanced High Resolution Coronary MRI

项目摘要 冠状动脉疾病（CAD）是美国的主要死亡原因，尽管其严重程度 在预防和诊断方面作出了努力。诊断CAD的临床金标准是 基于导管的侵入性X射线血管造影术，每年进行超过一百万次。这些 检查中，高达35%的患者没有发现明显的狭窄，但这些患者必须通过 进一步使患者暴露于电离辐射的侵入性测试的潜在风险和并发症 和碘化造影剂。因此，非侵入性诊断替代方案是高度期望的。 心脏MRI（CMR）提供了一种全面的非侵入性心脏检查方法，包括收缩功能检查。 功能评估（电影CMR）检测室壁运动异常，心肌CMR灌注， 诊断灌注缺陷，使用晚期钆增强（LGE）进行生存能力评估， 急性和慢性心肌梗死，以及用于识别狭窄的冠状动脉MRI。CMR是 这在几个方面是有利的，因为它不需要电离辐射或碘化造影剂， 便于重复或后续扫描。然而，长的数据采集时间仍然是其主要问题之一 局限性。已经研究了几种方法来促进快速CMR采集。不过 高分辨率CMR的采集时间仍然很长，空间和时间分辨率被权衡， 电影和灌注成像中的采集时间。因此，减少数据采集的方法的发展 时间超过现在是有吸引力的。我们将开发新的重建方法， 高分辨率CMR，学习正在重建的图像中的解剖结构。我们将 在一系列对比增强CMR成像协议中验证这些技术， 心脏的体积覆盖，造影剂的有效使用，以及更高的空间和时间 分辨率

Project Summary Coronary artery disease (CAD) is the leading cause of death in the United States, even though significant efforts have been made in prevention and diagnosis. The clinical gold standard for diagnosis of CAD is catheter-based invasive x-ray angiography, performed more than a million times per year. Of these examinations, up to 35% have been found to have no significant stenosis, yet these patients had to go through the potential risks and complications of an invasive test that further exposes the patient to ionizing radiation and iodinated contrast. Thus, non-invasive diagnostic alternatives are highly desirable. Cardiac MRI (CMR) provides a method for comprehensive non-invasive cardiac exam, including contractile functional assessment (cine CMR) to detect wall-motion abnormality, myocardial CMR perfusion for diagnosing perfusion defects, viability assessment using late gadolinium enhancement (LGE) for evaluation of acute and chronic myocardial infarction, and coronary MRI for the identification of stenosis. CMR is advantageous in several respects, since it does not require ionizing radiation or iodinated contrast, thereby facilitating repeated or follow-up scanning. However, long data acquisition time remains as one of its main limitations. Several approaches have been studied to facilitate rapid CMR acquisition. Nonetheless, the acquisition time for high-resolution CMR remains long, and spatial and temporal resolution is traded off for acquisition time in cine and perfusion imaging. Therefore, developments of methods to reduce data acquisition time beyond what is available now are appealing. We will develop novel reconstruction methodologies for high-resolution CMR that learn the anatomical structures in the images being reconstructed. We will validate these techniques in a range of contrast-enhanced CMR imaging protocols, providing better volumetric coverage of the heart, efficient use of the contrast agents, and higher spatial and temporal resolution.