心脏磁共振实时电影成像方法研究

发布时间：2018-02-19 22:42

本文关键词： 心脏磁共振实时电影成像自由呼吸呼气末期心脏舒张末期心脏收缩末期心脏功能　出处：《东北大学》2014年硕士论文　论文类型：学位论文

【摘要】：磁共振成像以其无辐射性、良好的软组织对比度以及任意层面成像等特点成为临床医学影像诊查的重要手段。心脏磁共振电影成像已经成为临床评估心脏功能的影像学金标准。通常使用的分段式采集心脏电影成像技术需要心电门控和呼吸配合来降低心跳和呼吸运动的影响,在对严重心脏疾病患者以及幼儿成像时受到极大限制。随着磁共振成像技术和硬件系统的发展,心脏磁共振实时电影成像成为可能并逐步发展为临床上检测心脏功能的重要手段。通过适当降低空间分辨率和使用快速成像技术,心脏实时电影成像技术可以在极短时间内(60ms)完成数据采集,因而不再要求屏气配合和使用心电门控。心脏磁共振实时电影成像在数据采集过程中由于呼吸运动的影响,不同层面间的空间位置不匹配,为后续的心脏功能测量引入误差。目前通常的解决方法是人工确定呼气末期时心脏舒张末期(ED)和收缩末期(ES)的图片,或者通过图像配准方法消除呼吸运动的影响。然而,这些方法非常繁琐和费时,不利于临床上大规模数据的快速有效处理,或者扫描时间较长,在高场磁共振系统上有特定吸收率过高的风险。针对心脏实时电影成像存在的问题,本研究提出一种高效的自由呼吸心脏磁共振实时电影成像数据处理方法。无需翻阅所有图片,采集数据的时间只需包含一个以上完整的呼吸运动周期,即可通过检测左心室中心运动提取呼吸运动信息,从中确定呼气末期时间区间以及该时间区间内ED和ES图像。通过8名健康志愿者的实时电影成像数据分析研究证实,该方法可以成功检测所需的ED和ES图像,所得的心脏功能参数与常规使用的分段式数据采集方法非常接近,证实所提出方法的有效性。本研究提出的方法为临床实时电影成像数据的分析提供了全新高效的途径,有利于实时电影成像技术向临床的推广和应用,具有重要的研究意义和应用价值。
[Abstract]:Magnetic resonance imaging is nonradiative, Good contrast of soft tissue and characteristics of arbitrary plane imaging have become an important means of clinical medical imaging examination. Cardiac magnetic resonance film imaging has become the imaging gold standard for clinical evaluation of heart function. Commonly used. Segmented acquisition of heart movies requires ECG gating and respiratory coordination to reduce the impact of heartbeat and respiratory movement. Very limited in imaging of patients with severe heart disease and young children. With the development of magnetic resonance imaging technology and hardware system, Real-time magnetic resonance imaging of the heart has become possible and has evolved into an important means of detecting cardiac function in the clinical world by properly reducing spatial resolution and using rapid imaging techniques, Real time cardiac imaging can complete data acquisition in a very short period of time, so it is no longer required to hold breath and use electrocardiogram. Spatial mismatch between different layers, introducing errors for subsequent cardiac function measurements. The current common solution is to manually determine the end-expiratory end-diastolic EDV and end-systolic ESs) images. Or using image registration methods to eliminate the effects of respiratory movement. However, these methods are cumbersome and time-consuming, and are not conducive to rapid and efficient processing of large clinical data, or longer scanning times. There is a particular risk of high absorptivity in high field magnetic resonance systems. In this study, we propose an efficient data processing method for real-time imaging of free-breathing cardiac magnetic resonance imaging. It is not necessary to look through all the images, and the time for collecting data only needs to include more than one complete respiratory motion cycle. Breathing motion information was extracted by detecting left ventricular central motion to determine the end expiratory time interval and the Ed and es images in that time interval. The results were confirmed by real time film imaging data analysis of 8 healthy volunteers. This method can successfully detect the needed Ed and es images, and the cardiac function parameters obtained are very close to the conventional segmented data acquisition method. The method proposed in this study provides a new and efficient approach for the analysis of clinical real-time image data, and is beneficial to the promotion and application of real-time film imaging technology in clinical practice. It has important research significance and application value.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R445.2

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