4-DIMENSIONAL LV TISSUE TRACKING IN CAD FROM TAGGED MRI

通过标记 MRI 在 CAD 中进行 4 维左心室组织追踪

• 批准号: 6402793
• 负责人: AMIR A AMINI
• 金额: $ 29.31万
• 依托单位: BARNES-JEWISH HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-01 至 2003-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6402793
• 关键词: bioimaging /biomedical imaging; clinical research; coronary disorder; heart motion; heart ventricle; human data; human subject; image enhancement; magnetic resonance imaging; mathematical model; myocardial infarction; phantom model; technology /technique development

DESCRIPTION (Adapted from Applicant's Abstract): The applicants propose to develop and validate new image analysis methods aimed at a more accurate, reproducible, and automated approach to assessment of regional left ventricular (LV) function and visualization of 3D cardiac motion from tagged MRI data of patients with coronary artery disease (CAD). The applicants have developed a number of methods for analysis of tagged MRI data which have been validated in phantoms and animal models of myocardial infarction (MI). They propose to continue development of these techniques which utilize all of the available stripe information, including tag intersections and linear tag lines, in automatically taking LV deformations and reconstructing dense displacements at all myocardial points, with the goal of routinely applying these techniques to patient data. The advantage of the developed methods is that since displacement vectors will be available at all myocardial points, indices of LV function will also be available everywhere in the myocardium. These indices can be summed over local myocardial regions resulting in segmental function scores. In human studies, the developed methods will be applied to images acquired from normal volunteers, patients with pharmacologic stress-induced myocardial ischemia, patients with old, healed MI, and patients with ischemic dilated cardiomyopathy. In each case, segmental wall motion as assessed by the algorithms will be compared and correlated with validated clinical techniques such as 2D echocardiography, cine-MRI, and Gadolinium (Gd) contrast MRI. Thus, the specific aims are: (a) To measure statistical distribution (mean and standard deviation) of segmental function scores from 3D + t (short-axis and long-axis) tagged MRI at rest and under pharmacologic (dobutamine) stress in normal controls. (b) To measure the function scores as determined from 2D + t (short-axis) tagged MRI during pharmacologic stress and classified into normal, hypokinetic, or akinetic classes in patients with stress-induced ischemia. These labels will then be statistically correlated to labels assigned to the same segments by 2D echocardiography and cine-NIRI. (c) To measure segmental function scores as determined from 3D + t (short-axis and long-axis) tagged NIRI at rest and classified into normal, hypokinetic, akinetic, or dyskinetic classes in patients with an old, healed MI. The labels will be statistically compared to non-nal or akinetic labels assigned to the same segment from 2D echocardiography and cine-MRI, and with Gd contrast MRI. (d) To measure the segmental function scores from 3D + t (short-axis and long-axis) tagged MRI at rest and classified into normal, hypokinetic, akinetic, or dyskinetic classes in patients with ischemic, dilated cardiomyopathy. The labels will be statistically compared to labels assigned to the same segment from 2D echocardiography and cine-MRI.

描述(改编自申请人摘要)：申请人提出 开发和验证新的图像分析方法，旨在更准确、 可重复性的、自动化的局部左心室评估方法 (LV)基于标记化MRI数据的心脏三维运动功能和可视化 冠心病(CAD)患者。申请者已经开发出一种 用于分析标记的MRI数据的方法的数量已在 心肌梗塞(MI)的幻影和动物模型。他们提议 继续开发这些技术，利用所有可用的 中的条带信息，包括标记交点和线性标记线 自动获取LV变形并重建密集位移点 所有心肌点，目标是常规地应用这些技术来 病人数据。所开发的方法的优点是由于位移 载体将在所有心肌点可用，左心功能指数将 在心肌中也随处可见。这些指数可以加在一起 导致节段功能评分的局部心肌区域。在人类中 研究表明，所开发的方法将应用于从正常人体获取的图像 志愿者，药物应激引起的心肌缺血患者， 陈旧性、治愈的心肌梗死患者和缺血扩张的患者 心肌病。在每种情况下，节段性室壁运动由 算法将与经过验证的临床技术进行比较和关联 例如2D超声心动图、电影MRI和Gd(Gd)增强MRI。因此， 具体目标是：(A)衡量统计分布(平均值和 3d+t节段功能评分的标准差)(短轴和 长轴)标记的MRI在静息和药物(多巴酚丁胺)应激下 正常对照组。(B)测量根据2D+t确定的功能分数 (短轴)药物应激期间标记的MRI，并分类为正常， 应激性脑缺血患者的运动功能减退或无运动状态。 然后，这些标签将在统计上与分配给 二维超声心动图和Cine-NIRI检查相同节段。(C)分段测量 根据标记的3D+t(短轴和长轴)确定的功能分数 静息状态下的NIRI，分为正常、运动不足、无运动或运动障碍 已治愈的陈旧性心肌梗塞患者的课程。标签将被统计出来 与从2D分配给相同节段的非NAL或无动力标签进行比较 超声心动图和电影MRI，Gd增强MRI。(D)测量 3D+t(短轴和长轴)标记的MRI的节段功能评分 休息，并分为正常、运动不足、无运动或运动障碍类别 在缺血性、扩张型心肌病患者中。标签将是 与从2D分配给相同线段的标签进行统计比较 超声心动图和电影核磁共振成像。