Cine-DENSE MRI to study right-and left ventricular forms of cardiomyopathy in SA

电影 DENSE MRI 研究 SA 中右心室和左心室形式的心肌病

• 批准号: 7555404
• 负责人: Frederick H Epstein
• 金额: $ 3.25万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-03-27 至 2010-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7555404
• 关键词: Africa; Africa South of the Sahara; African; Algorithms; Animal Model; Area; Arrhythmogenic Right Ventricular Dysplasia; Blood flow; Cardiac; Cardiomyopathies; Cardiovascular Diseases; Cardiovascular system; Cause of Death; Cessation of life; Collaborations; Country; Diagnosis; Dimensions; Disease; EFRAC; Environment; Etiology; Famines; Gene Transfer; Grant; Heart Diseases; Heart Transplantation; Heart failure; Hospitals; Human; Hypertension; Image; Image Analysis; Imaging Techniques; Infarction; Infection; Investigation; Knockout Mice; Left; Left Ventricular Dysfunction; Location; Magnetic Resonance Imaging; Measures; Mechanics; Methodology; Methods; Motion; Mus; Myocardial; Myocardial Infarction; Myocardial Ischemia; Myocardial perfusion; Myocardium; Nitric Oxide; Nitric Oxide Synthase; Normal Range; Outcome; Parents; Patients; Pattern; Perfusion; Phase; Plague; Population; Prevalence; Process; Research; Resolution; Resources; Rheumatic Heart Disease; Right ventricular structure; Role; Signal Transduction; Slice; Societies; South Africa; Techniques; Testing; Time; Tissues; United States National Institutes of Health; Universities; Ventricular; Ventricular Dysfunction; base; disability; effective intervention; healthy volunteer; heart function; heart imaging; mortality; neoplastic; novel; tissue oxygenation; tool; two-dimensional

This research will be conducted primarily in South Africa at the University of Cape Town (UCT) and Groote Schuur Hospital (GSH) in Cape Town, South Africa, in collaboration with Drs Mayosi, Meintjes, and Smedema, as an extension of NIH grant #1 RO1 EB 001763. The overall aim is to apply cine-DENSE (Displacement Encoding with Stimulated Echos) MR)to the study of wall motion abnormalities that occur in left-and right ventricular forms of cardiomyopathy that are particularly prevalent in sub-Saharan Africa and to develop highly automated algorithms for the quantitative analysis of such images. The cardiomyopathies pose the greatest challenge of all the cardiovascular diseases in Africa because of their greater prevalence in societies still plagued by diseases of famine and pestilence; difficulty in diagnosis due to the lack of specialized cardiological investigations in resource poor environments; the lack of accessto effective interventions such as heart transplantation; and the high mortality associated with these often irreversible disorders of heart muscle. Wall motion abnormality in cardiomyopathy may be the earliest functional abnormality before clinically detectable heart failure and may provide direct information about the contractile function of the heart. Previous wall motion imaging techniques suffer from either low spatial resolution or poor accuracy. Cine-DENSE achieves tracking of the myocardial motion through the cardiac cycle at pixel-wise spatial resolution with high accuracy. Slice following has recently been implemented for cine-DENSE achieving accurate 3D left ventricular (LV) motion tracking. These methodologies have not been applied to the RV and automatic segmentation of the LV and RV myocardium has not been achieved. Cine-DENSE has not been applied to the study of wall motion abnormalities that occur in cardiomyopathy and offers higher spatial resolution than techniques used in previous studies. Specifically, wall motion abnormality will be correlated with outcome at 1year in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and peripartum cardiomyopathy (PCM). Tools will be developed for 3D tracking of the myocardial motion of both the LV and RV by developing a more robust phase unwrapping algorithm; automatic myocardial segmentation will be achieved using a motion-based algorithm, and 3D intramyocardial strain tensors will be computed at a pixel resolution by combining Strain Encoded (SENC) and DENSE MRI.

这项研究将主要在南非开普敦大学（UCT）和Groote Schuur进行。 南非开普敦的医院（GSH）与Mayosi，Meintjes和Smedema博士合作 NIH授予＃1 RO1 EB 001763的扩展。总体目的是应用Cine密集（带排量编码 刺激了左右的壁运动异常的研究 心肌病在撒哈拉以南非洲特别普遍，并开发高度自动化算法 此类图像的定量分析。心肌病构成了所有心血管的最大挑战 非洲的疾病是因为它们在社会中的越来越流行仍然受到饥荒和瘟疫疾病的困扰。 由于缺乏资源较差的环境中缺乏专门的心脏病研究，因此难以诊断；缺乏 获得有效的干预措施，例如心脏移植；以及与这些相关的高死亡率 心肌不可逆转的疾病。心肌病的壁运动异常可能是最早的功能 临床可检测到的心力衰竭之前的异常，并可能提供有关收缩功能的直接信息 心脏。先前的壁运动成像技术的空间分辨率低或准确性差。 Cine密集通过以像素的空间分辨率在心脏周期中实现心肌运动的跟踪 高精度。最近已经实施了片片，以实现Cine密集，以实现精确的3D左心室 （LV）运动跟踪。这些方法尚未应用于LV的RV和自动分割 RV心肌尚未实现。 Cine密集尚未应用于壁运动的研究 在心肌病中出现的异常，并提供比以前使用的技术更高的空间分辨率 研究。具体而言，心律不齐患者的壁运动异常将与1岁的结果相关 右心肌病（ARVC）和围围心肌病（PCM）。将为3D开发工具 通过开发更健壮的相位解开算法来跟踪LV和RV的心肌运动； 使用基于运动的算法和3D心脏内菌株将实现自动心肌分割 张量将通过将菌株编码（SENC）和致密MRI组合来以像素分辨率计算。

项目成果

Abnormal diastolic and systolic septal motion following pericardiectomy demonstrated by ciné DENSE MRI.

电影 DENSE MRI 显示心包切除术后舒张期和收缩期间隔运动异常。

• 发表时间: 2008
• 期刊: Cardiovascular journal of Africa
• 影响因子: 0.7
• 作者: Spottiswoode,B;Russell,JB;Moosa,S;Meintjes,EM;Epstein,FH;Mayosi,BM
• 通讯作者: Mayosi,BM