基于心脏电影磁共振图像的右心室自动分割研究进展

Research Progress of Automatic Right Ventricle Segmentation Based on Cardiac Cine Magnetic Resonance Image

心脏疾病严重威胁着人类健康。近年来,临床心脏疾病诊断除了评估左心室功能外,也越来越多地开始对右心室功能进行评估。尤其当左心室射血分数较低时,右心室功能评估显得更为重要。右心室分割是评估其功能的前提。然而,心脏右心室心肌薄,结构复杂且个体差异大,一直是分割的难点。由于心脏电影磁共振图像是如今临床评估心室功能的金标准,本文对基于该图像典型的右心室分割方法、评价方法及发展前景进行了综述性描述,以便相关领域研究者更好地了解右心室分割研究进展。

Heart diseases seriously threaten people＇s health. More and more functional evaluation of cardiac right ventricle has been considered in the clinical diagnosis in addition to the classical functional evaluation of cardiac left ventricle. It is very important to evaluate the functional parameters of right ventricle in clinical heart disease diagnosis, especially when the ejection fraction of left ventricle is very low. Right ventricular segmentation is needed for the functional evaluation. However, right ventricular segmentation has been difficult due to its thin myocardium, complex structure and significant individual variability. Cine cardiac magnetic resonance image is a golden standard in clinical functional evaluation of cardiac ventricle. In the present paper, we summarize the classic segmentation approaches, evaluation methods and their development, which can help the researchers in the related field have a quick and basic understanding to the right ventricle segmentation.