跟踪(教育)
运动(物理)
匹配移动
计算机视觉
计算机科学
磁共振成像
分割
人工智能
心室
医学
生物医学工程
心脏病学
放射科
心理学
教育学
作者
Jiansheng Lin,Lijia Wang
出处
期刊:PubMed
日期:2020-06-25
卷期号:37 (3): 549-556
标识
DOI:10.7507/1001-5515.201904007
摘要
Due to the high spatiotemporal resolution , cardiac cine magnetic resonance imaging (CCMRI) has been widely used to evaluate the cardiac function of cardiovascular diseases such as myocardial ischemia and so on. Segmentation-based motion tracking of left myocardium is very important for comprehensive evaluation of cardiac function in the diagnosis and treatment of cardiovascular diseases. However, it is a challenge to track motion of left myocardium, which is homogeneous and cannot provide effective motion information. In this paper, CCMRI imaging techniques for myocardial motion tracking are introduced firstly. Then approaches for motion tracking of left myocardium based on CCMRI image are described in details and are summarized and prospected at the end, which not only helps beginners to have a quick and comprehensive understanding on this topic, but also provides theoretical reference to related researchers for further optimization of approaches for motion tracking of left myocardium. From the current study, motion tracking approaches for left myocardium based on CCMRI image make comprehensive use of the spatiotemporal motion characteristics of CCMRI image, the motion and structures of myocardium of left ventricle and so on, which can make up for the shortcomings of sparse motion information of CCMRI image. However, it still needs improved constraint framework, verification methods and so on.心脏电影磁共振成像(CCMRI)时空分辨率高,被广泛应用于心肌缺血等心血管疾病的心脏功能评价中。在左心肌分割的基础上进一步追踪左心肌运功,对临床全面评估心脏的运动功能、诊疗心血管疾病具有非常重要的意义。然而,CCMRI 图像的左心肌比较均匀,无法提供有效运动信息,给运动追踪带来了不小的挑战。本文从适用于左心肌运动追踪的磁共振成像技术出发,然后详细叙述了基于 CCMRI 图像的左心肌运动追踪方法,最后对左心肌运动追踪方法进行了总结与展望,既帮助初学者快速全面地了解该研究课题,也为相关研究者进一步优化左心肌运动追踪方法提供理论参考。从目前的研究来看,基于 CCMRI 图像的左心肌追踪方法可通过综合利用 CCMRI 图像的时空运动特征、左心肌的运动规律及组织特征等先验知识,来弥补图像稀疏运动信息的短板,但仍需在约束框架、验证方式等方面进一步完善。.
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