Schneider Jürgen E, Wiesmann Frank, Lygate Craig A, Neubauer Stefan
Department of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, UK.
J Cardiovasc Magn Reson. 2006;8(5):693-701. doi: 10.1080/10976640600723664.
High-resolution magnetic resonance cine imaging (cine-MRI) is a method that allows for a non-invasive assessment of left ventricular function and mass. To perform this quantitation, hearts are imaged from the base to the apex by a stack of two-dimensional images. Thus, analysis of myocardial mass and function by cine-MRI does not rely on geometric assumptions. Geometric and functional parameters, such as end-diastolic volume (EDV), end-systolic volume (ESV) or ejection fraction (EF), are obtained by subsequent image segmentation of the respective cine frames in each slice. While this technique has been well established in clinical practice, it is now rapidly becoming the reference method in experimental cardiovascular MRI for accurate quantification of cardiac parameters, thereby aiding the phenotyping of the increasing number of transgenic and surgical mouse models. However, accurate measurement of cardiac functional parameters requires the images to be acquired in short-axis orientation of the heart, which can be difficult to define, particularly in animals with diseased hearts. Furthermore, data analysis can be the source of a systematic error, mainly for myocardial mass measurement. Here, we describe a protocol that allows for a quick and reproducible approach of obtaining the relevant cardiac views for cine-MRI, and we explain how an accurate experimental image analysis can be performed.
高分辨率磁共振电影成像（cine-MRI）是一种可对左心室功能和质量进行无创评估的方法。为进行这种定量分析，通过一系列二维图像从心底到心尖对心脏进行成像。因此，cine-MRI对心肌质量和功能的分析不依赖于几何假设。几何和功能参数，如舒张末期容积（EDV）、收缩末期容积（ESV）或射血分数（EF），是通过对每个切片中相应电影帧进行后续图像分割获得的。虽然这项技术在临床实践中已得到充分确立，但现在它正迅速成为实验性心血管MRI中用于准确量化心脏参数的参考方法，从而有助于对越来越多的转基因和手术小鼠模型进行表型分析。然而，准确测量心脏功能参数需要在心脏短轴方向采集图像，而这可能很难确定，尤其是在患有心脏疾病的动物中。此外，数据分析可能是系统误差的来源，主要是在心肌质量测量方面。在这里，我们描述了一种协议，该协议允许以快速且可重复的方式获取用于cine-MRI的相关心脏视图，并解释如何进行准确的实验图像分析。
