METHODS FOR ANALYSIS OF TAGGED MR CARDIAC IMAGES

标记 MR 心脏图像的分析方法

基本信息

批准号：
6043944
负责人：
AMIR A AMINI
金额：
$ 9.36万
依托单位：
BARNES-JEWISH HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
1998
资助国家：
美国
起止时间：
1998-08-01 至 2002-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6043944
关键词：
bioimaging /biomedical imaging cardiography clinical research computer data analysis computer simulation diagnosis design /evaluation heart motion histopathology human subject image processing magnetic resonance imaging myocardial ischemia /hypoxia swine

项目摘要

DESCRIPTION (Adapted from Applicant's Abstract): The aim of this proposal is to further develop and validate algorithms for analysis of SPAMM MR cardiac images based on novel spline methods. MRI is unique in its ability to non-invasively and selectively alter tissue magnetization, and create tagged patterns within the deforming tissue such as the heart muscle. The resulting pattern defines a time-varying curvilinear coordinate system on the underlying tissue, allowing for precise and quantitative measurement of tissue motion and deformation. The investigators are developing two frameworks for analysis of SPAMM tagged images, both of these aimed at providing a more automated and reproducible approach to analysis of SPAMM data, as well as providing dense 3-D displacement information at all points within the LV myocardium. The investigators propose to (a) further develop and extend our analyses techniques. The extensions considered will all be related and based on currently developed computer vision-based techniques for regional LV wall motion analysis, that operates either on a sequence of SA slice stacks or on a time sequence of single slice. (b) The investigators will validate the motion tracking methods by comparing "true" and algorithm-estimated motion trajectories: 1) on dense field of points derived from 3-D tagged computer models of objects that simulate the moving LV, 2) on dense field of points derived from Finite Element Model simulations of the constitutive equations of LV deformations (once again tag planes will be superimposed on the time course of simulated geometries), 3) on selected points in the LV myocardium of the in vivo heart using a porcine model. Here, "true" motion will be determined by tracking implanted image distinguishable markers. (c) The investigators will test whether regions of postmortem myocardial injury imply similar-sized and locate regions of altered deformations (as measured by parameters developed in (a)). The algorithm-derived LV function assessment based on the analysis of in vivo tagged MRI sequences will be compared with postmortem myocardial injury assessment determined by myocardial staining techniques. The validated parameters will also be use to examine the time-course of change in the ischemic areas of the chronic animal models.

描述（改编自申请人的摘要）：本提案的目的是为了进一步开发和验证用于分析 SPAMM MR 的算法基于新颖样条方法的心脏图像。 MRI 的能力是独一无二的以非侵入性和选择性地改变组织磁化强度，并创建变形组织（例如心肌）内的标记模式。这所得图案定义了一个时变曲线坐标系底层组织，允许精确和定量测量组织运动和变形。研究人员正在开发两种用于分析 SPAMM 标记图像的框架，这两个框架都旨在提供更加自动化和可重复的 SPAMM 分析方法数据，以及提供所有点的密集 3D 位移信息左心室心肌内。研究人员建议 (a) 进一步开发并扩展我们的分析技术。考虑的扩展都将是相关并基于当前开发的计算机视觉技术用于局部 LV 室壁运动分析，可按以下顺序进行操作： SA切片堆叠或按时间顺序排列的单个切片。（二）研究人员将通过比较“真实”来验证运动跟踪方法和算法估计的运动轨迹：1）在点的密集场上源自模拟移动物体的 3D 标记计算机模型 LV, 2) 源自有限元模型的点密集场 LV 变形本构方程的模拟（再次标记平面将叠加在模拟几何图形的时间过程上），3）使用猪在体内心脏的左心室心肌中的选定点模型。在这里，“真实”运动将通过跟踪植入的图像来确定可区分的标记。 (c) 调查人员将测试区域是否死后心肌损伤意味着相似大小和位置的区域改变的变形（通过（a）中开发的参数测量）。这基于体内分析的算法衍生的左心室功能评估标记的 MRI 序列将与死后心肌损伤进行比较通过心肌染色技术进行评估。经验证的参数也将用于检查变化的时间过程慢性动物模型的缺血区域。