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计算机系统应用:2020,29(9):1-15
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心血管造影图像分割方法综述
(浙江理工大学 信息学院, 杭州 310018)
Review on Segmentation Methods of Angiocardiography Images
(School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China)
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投稿时间:2019-12-09    修订日期:2020-01-03
中文摘要: 由动脉粥样硬化病变引起的血管狭窄是冠心病的最大诱因,其发病率高,致死率高,因此研究冠状动脉的狭窄程度对于冠心病的早期诊断和评估十分重要.数字减影血管造影(DSA)图像是冠心病诊断的“金标准”.医疗辅助仪器在处理DSA造影图像对狭窄程度进行评估时,首先需要对血管进行分割,才能进行后续的狭窄程度分析.血管的分割提取是进行疾病的量化描述和血管三维重建的重要前提,也是辅助医生临床诊断和治疗的重要手段.本文针对心血管的数字减影血管造影(DSA)图像进行研究,从预处理、分割方法、评价标准3个方面总结近几年国内外针对心造影图像中血管的分割方法.
Abstract: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.
文章编号:7489     中图分类号:    文献标志码:
基金项目:浙江省重点研发项目(2015C03023)
引用文本:
李越,蒋路茸,童基均.心血管造影图像分割方法综述.计算机系统应用,2020,29(9):1-15
LI Yue,JIANG Lu-Rong,TONG Ji-Jun.Review on Segmentation Methods of Angiocardiography Images.COMPUTER SYSTEMS APPLICATIONS,2020,29(9):1-15

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