Real-time pediatric cardiovascular MRI without breath holding, ECG monitoring or respiratory navigation

 描述(由申请人提供) 磁共振成像(MRI)无创、无辐射、信息量丰富，为儿童先天性和获得性心血管疾病提供了一种理想的成像方法。然而，儿童心血管MRI的普遍适用性受到两个挑战的限制。首先，目前可用的技术不能比心脏和呼吸运动更快地收集数据。其次，儿童不合作、不稳定和脆弱，这使得使用需要患者合作的传统运动控制技术变得困难，例如带有屏气的k空间分割。为了克服这些挑战，拟议的项目将把一个新的高速核磁共振框架转化为一个可以实时成像运动心脏的数据采集范例。这种被称为相关成像的框架可以利用线性数据采集和图像重建策略来克服现有MRI技术的速度限制，为提高儿童心血管MRI的适用性提供了一种临床上可翻译的方法。在这个拟议的5年项目中，我们将把相关成像转化为一种实时成像工具，它可以在临床MRI扫描仪上以比心脏和呼吸运动更快的速度收集数据。我们将建立一种新的实时数据采集范式，用于儿科心血管MRI检查，而不需要屏气、心电监测或呼吸导航。此外，我们将开发一种创新的傅立叶分析方法，通过从一系列连续心脏周期收集的实时图像评估血液循环周期，来评估心血管功能。我们期望这项拟议的研究将通过减少运动并发症来改变儿科心血管MRI，从而改善疾病的预后和诊断。拟议的项目将由一个由工程学、物理学和心脏病学领域的专家组成的研究小组进行。我们将把科学、临床和工业研究人员的专业知识联系起来，以便将我们新的高速数据采集技术转化为儿科心血管磁共振。然而，由于成像速度是临床MRI许多领域的关键障碍，我们的研究有望对临床成像领域产生更广泛的影响。

 DESCRIPTION (provided by applicant) Magnetic resonance imaging (MRI) offers an ideal approach to imaging congenital and acquired cardiovascular diseases in pediatric patients because it is non-invasive, radiation-free and information-rich. However, the general applicability of pediatric cardiovascular MRI is constrained by two challenges. First, currently available techniques cannot collect data faster than cardiac and respiratory motion. Second, children are uncooperative, unstable and vulnerable, making it difficult to employ conventional motion-control techniques that require patient cooperation, e.g., k-space segmentation with breath holding. To overcome these challenges, the proposed project will translate a novel high-speed MRI framework into a data acquisition paradigm that can image the moving heart in real-time. This framework, which is called "correlation imaging", can overcome the speed limit of available MRI techniques using linear data acquisition and image reconstruction strategies, providing a clinically translatable approach to improving the applicability of pediatric cardiovascular MRI. In this proposed 5-year project, we will translate correlation imaging into a real-time imaging tool that can collect data faster than cardiac and respiratory motion on clinical MRI scanners. We will establish a new real- time data acquisition paradigm for pediatric cardiovascular MRI examination without breath holding, electrocardiogram (ECG) monitoring or respiratory navigation in our institution. In addition, we will develop an innovative Fourier analysis approach that can assess cardiovascular function by evaluating blood circulation periodicity from real-time images collected over a series of sequential cardiac cycles. We expect that the proposed research will transform pediatric cardiovascular MRI by reducing motion complications and thus improving disease prognosis and diagnosis. The proposed project will be carried out by a research team of experts from the fields of engineering, physics and cardiology. We will bridge the expertise of scientific, clinical and industrial researchers in order to translate our new high-speed data acquisition technique into pediatric cardiovascular MRI. Since imaging speed is a critical barrier to many areas of clinical MRI, however, our research promises an even more widespread impact on the field of clinical imaging.