DEVELOPMENT OF NEW MRI METHOD TO STUDY CARDIAC MOTION

心脏病是西方国家发病和死亡的主要原因 世界上，一般会导致异常的心壁运动。 的 该项目的目标是：1）开发改进的测量方法 使用磁共振成像（MRI）的局部心脏壁运动;以及 2)将它们应用于正常受试者的样本，以定义 正常的心脏运动模式 这将有助于 提高我们对正常心脏运动的理解， 一组基线正常值， 疾病可以比较。 此外，改进的方法用于心脏 将为该项目开发的MRI成像将具有 更广泛地适用于一般心脏MRI。 该项目的一个主要重点是技术方面的发展 室壁运动的研究。 将制定方法， 具有改进的空间和运动特性的标记的MR心脏图像的采集 时间分辨率，包括研究期间的标记成像 快速梯度回波和回波平面成像的暂停呼吸 以及专门适用于接收的表面线圈的开发 来自心脏的信号 将开发分析方法， 从两个堆叠的图像估计三维运动和变形 双平面级数和相速度编码。 验证方法 将进一步开展测量结果的核实工作。 图像 将为再现性研究开发注册方法 不同主题的比较。 改进的成像和 本项目开发的分析方法将广泛应用于 正常受试者样本，按性别、年龄和种族分层。 这 将分析受试者内和受试者间的变异模式。

Heart disease, a major cause of morbidity and mortality in the Western World, generally leads to abnormalities of heart wall motion. The goals of this project are 1) to develop improved methods for measuring regional heart wall motion using magnetic resonance imaging (MRI); and 2) to apply them to a sample of normal subjects in order to define the normal patterns of cardiac motion. This will be useful both for improving our understanding of normal cardiac motion and for providing a set of baseline normal values against which patients with heart disease can be compared. In addition, improved methods for cardiac imaging with MRI that will be developed for this project will have broader applicability to general cardiac MRI. A major focus of this project is on development of technical aspects of the wall motion studies. Methods will be developed for the acquisition of tagged MR cardiac images with improved spatial and temporal resolution, including investigations of tagged imaging during suspended respiration with rapid gradient echo and echo planar imaging and development of surface coils specifically adapted for receiving signals from the heart. Analysis methods will be developed for estimating the 3-dimensional motion and deformation from both stacked biplane series and phase velocity encoding. Validation methods for verification of measurement results will be further developed. Image registration methods will be developed for studies of reproducibility and comparison of different subjects. The improved imaging and analysis methods developed in this project will be applied to a broad sample of normal subjects, stratified for gender, age and race. This will be analyzed for within and between subject patterns of variation.