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

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GSH医院与Mayosi、Meintjes和Smedema博士合作，作为 延长美国国立卫生研究院1号拨款1号RO1 EB 001763。总体目标是应用电影密度(置换编码) 刺激回声)MR)研究左、右室形态的室壁运动异常。 在撒哈拉以南非洲特别流行的心肌病，并开发高度自动化的算法 对这类图像的定量分析。心肌病是所有心血管疾病中最大的挑战 非洲的疾病，因为它们在仍受饥荒和瘟疫困扰的社会中的流行率更高； 由于在资源匮乏的环境中缺乏专门的心脏病学调查而造成的诊断困难；缺乏 获得心脏移植等有效干预措施的机会；以及与此相关的高死亡率 不可逆转的心肌疾病。心肌病的室壁运动异常可能是最早的功能性 在临床可检测到的心力衰竭之前出现异常，并可提供有关收缩功能的直接信息 心之所向。以往的室壁运动成像技术要么空间分辨率低，要么精度差。 Cine-Density以像素级的空间分辨率实现了对心脏周期中的心肌运动的跟踪， 精确度高。最近已经实现了切片跟踪，以实现电影密度的准确的3D左心室 (Lv)运动跟踪。这些方法还没有应用于RV和LV的自动分割 而右室心肌尚未获得。电影密度还没有被应用于壁面运动的研究 心肌病中出现的异常，其空间分辨率比以前使用的技术更高 学习。具体地说，室壁运动异常与致心律失常患者1年后的预后相关。 右室心肌病(ARVC)和围产期心肌病(PCM)。将为3D开发工具 通过开发更健壮的相位展开算法来跟踪LV和RV的心肌运动； 将使用基于运动的算法来实现自动心肌分割，并且3D心肌内应变 张量将通过结合应变编码(SENC)和高密度磁共振成像以像素分辨率计算。

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.