CANONICAL ANALYSIS OF #30 CARDIAC MOTION FROM TAGGED MRI

描述（改编自申请人的摘要）：心脏病，一种主要的 在西方世界的发病率和死亡率的原因，通常会导致 心壁运动异常。 然而，仍然有一些主要的 心壁疾病的临床评估困难， 常规成像技术（例如，CT，常规MRI），缺乏 足够的分辨率在提取的数据，缺乏计算 三维心壁的自动提取技术 以一种对医生"有用"的方式提供运动参数， 一个正常病人的数据库， 可以比较。 该提案的目的是利用最近开发的 在宾夕法尼亚大学，磁共振成像（MRI） 基于磁标记（"SPAMM"）的技术用于建模和临床 分析心脏运动。 具体而言，本建议旨在：1） 开发心室分析和建模方法，2）应用这些方法 先前获取的正常受试者数据和一些 附加数据为了构建新的规范心脏运动模型， 包括对年龄、性别、种族和体型的依赖，3）将 在分析和建模工具中产生正常的数据库表示 一个程序来创建一个3D可视化的个人主题，他们的 心脏显示那些异常移动的区域，以及4）使用该工具 在#3中开发并将其应用于有限的患者系列， 初步评估这些方法的效用，并作为如何 改进分析和显示方法。 假设是，由于这种类型的数据（MRI-SPAMM）显示了 更高的3D精度，我们将能够可靠地 以定量的方式区分上述类型的疾病， 预期会以特征性方式影响心脏功能。 我们将测试 这一假设由一个已经可用的小的代表性系列， 患者，每个人都有明确的心脏病。 的结果 分析将根据所有其他可用的评估进行测试， 患者研究。

DESCRIPTION (Adapted from the applicant's abstract): Heart disease, a major cause of morbidity and mortality in the Western World, generally leads to abnormalities of heart wall motion. However, there are still major difficulties in clinical assessment of heart wall disease due to the use of conventional imaging techniques (e.g., CT, conventional MRI), the lack of sufficient resolution in the extracted data, the absence of computational techniques for automatic extraction of the three-dimensional heart wall motion parameters in a way that is "useful" to physicians, and the absence of a database of normal patients against which normal and abnormal hearts can be compared. The aim of this proposal is to use the recently developed at the University of Pennsylvania, magnetic resonance imaging (MRI) technique based on magnetic tagging ("SPAMM") for modeling and clinically analyzing the cardiac motion. In particular this proposal aims to: 1) develop methods for ventricular analysis and modeling, 2) apply the methods to a combination of previously acquired normal subject data and some additional data in order to construct a novel canonical heart motion model, including dependence on age, gender, race and body size, 3) incorporate the resulting normal database representation in the analysis and modeling tools program to create for an individual subject a 3D visualization of their heart displaying those areas which move abnormally, and 4) use the tool developed in #3 and apply it to a limited series of patients as a preliminary assessment of the utility of these methods and as a guide on how to improve the analysis and display methods. The hypothesis is that due to this type of data (MRI-SPAMM) which shows a much greater degree of precision in 3D, we will be able to reliably distinguish in a quantitative way the above types of disease that are expected to affect cardiac function in characteristic ways. We will test this hypothesis by an already available small representative series of patients, each with a well-defined heart condition. The results of the analysis will be tested against all other available evaluations of the patients studied.