Novel Accelerated Contrast-Enhanced High Resolution Coronary MRI

项目摘要 在美国，冠状动脉疾病(CAD)是导致死亡的主要原因，尽管它很重要 在预防和诊断方面做出了努力。临床诊断冠心病的金标准是 以导管为基础的侵入性X射线血管造影术，每年进行100多万次。其中 检查发现，高达35%的患者没有明显的狭窄，但这些患者必须通过 进一步使患者暴露在电离辐射下的侵入性测试的潜在风险和并发症 和碘化对比剂。因此，非侵入性诊断替代方案是非常可取的。 心脏磁共振(CMR)提供了一种包括收缩在内的全面的非侵入性心脏检查方法 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，应用晚期Gd增强(LGE)评估生存能力评估 急性和慢性心肌梗死，冠状动脉MRI用于识别狭窄。CMR是 在几个方面是有利的，因为它不需要电离辐射或碘化对比，从而 便于重复扫描或后续扫描。然而，数据采集时间长仍然是其主要问题之一 限制。已经研究了几种方法来促进CMR的快速获取。尽管如此， 高分辨率CMR的采集时间仍然很长，空间和时间分辨率为 电影采集时间和灌注成像。因此，减少数据采集的方法的发展 现在可用的时间之外的时间很吸引人。我们将开发新的重建方法 学习重建图像中的解剖结构的高分辨率CMR。我们会 在一系列对比度增强的CMR成像协议中验证这些技术，提供更好的 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 决议。

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.