CANONICAL ANALYSIS OF #30 CARDIAC MOTION FROM TAGGED MRI

简介(摘自申请者的摘要)：心脏病，一种严重的 在西方世界，疾病和死亡的原因通常会导致 心壁运动异常。然而，仍然有主要的 心壁疾病临床评估中的困难 常规成像技术(例如，CT、常规MRI)缺乏 在提取的数据分辨率足够高的情况下，没有计算 三维心壁的自动提取技术 运动参数，以一种对医生有用的方式，以及缺席 与正常和异常心脏患者的数据库进行对比 可以与之相比。这项提议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)的建模和临床技术 分析心脏运动。特别是，这项建议旨在：1) 开发用于心脏分析和建模的方法，2)应用这些方法 到先前获取的正常对象数据和一些 附加数据以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)纳入 分析和建模工具中的结果正常数据库表示 计划为个人对象创建其三维可视化 心脏显示运动异常的区域，以及4)使用工具 在#3中开发，并将其应用于有限系列的患者 对这些方法的实用性进行初步评估，并作为指导如何 改进分析和展示方法。 假设是由于这种类型的数据(MRI-Spamm)显示 更高的3D精度，我们将能够可靠地 以定量的方式区分上述疾病类型 预计会以特有的方式影响心脏功能。我们将测试 这一假设是由一个已经可用的具有代表性的小系列 患者，每个人都有明确的心脏状况。评选结果 分析将对照所有其他可用的评估进行测试 研究对象为患者。

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.