Vascular stenosis caused by atherosclerotic lesions is the biggest cause of coronary heart disease, and its incidence is high, and the mortality rate is high. Therefore, it is very important to study the degree of coronary artery stenosis for early diagnosis and evaluation of coronary heart disease. Digital Subtraction Angiography (DSA) images are the “gold standard” for the diagnosis of coronary heart disease. Medical aids in the treatment of DSA angiography to assess the degree of stenosis, first need to segment the blood vessels in order to carry out subsequent analysis of stenosis. The segmentation and extraction of blood vessels is an important premise for quantitative description of diseases and three-dimensional reconstruction of blood vessels, and is also an important means to assist doctors in clinical diagnosis and treatment. In this paper, we study the digital subtraction angiography (DSA) images of cardiovascular, and summarize the methods of segmentation of blood vessels in angiocardiography in recent years from three aspects: preprocessing, segmentation method and evaluation criteria.