Heller E N, Staib L H, Dione D P, Constable R T, Shi C Q, Duncan J S, Sinusas A J
Division of Cardiology, Department of Internal Medicine, Bronx-Lebanon Hospital Center, New York, USA.
Can J Cardiol. 2001 Mar;17(3):309-18.
With the development of high-resolution myocardial imaging there has evolved a need for automated techniques that can accurately quantify regional function.
To develop a new method for quantification of spatial and temporal parameters of endocardial motion.
Magnetic resonance images were analyzed using a unique, shape-based approach that tracks endocardial surface motion at defined points through the cardiac cycle by minimizing the bending energy.
Animal instrumentation was performed in the Nuclear Cardiology Experimental Research Laboratory at Yale University, New Haven, Connecticut. Magnetic resonance imaging was performed at the Yale New Haven Hospital Center.
Eight mongrel canines were used.
Electrocardiograph-gated gradient-echo magnetic resonance images were obtained before and after occlusion of the left anterior descending coronary. Thirty-two points along automatically defined endocardial contours were tracked. Average displacements and cumulative path lengths were computed from end-diastole for each point over the entire cardiac cycle. The average cumulative path length was computed for each of four quarters of systole for the normal, border and infarct zones. Shape-based parameters of systolic motion were compared with the centreline approach. Infarct zone was defined by postmortem histochemical staining.
Displacement and cumulative path length over the cardiac cycle decreased significantly in the infarct and border zones (P<0.05), but did not change in the normal zone (P was not significant). Temporal changes in motion were observed in all zones. Displacement measured using the shape-based algorithm was more consistent than cumulative path length when compared with systolic motion measured using the centreline method.
An automated, shape-based approach permits quantitative evaluation of both spatial and temporal parameters of regional endocardial motion from high-resolution electrocardiograph-gated images. Analysis of endocardial motion and cumulative motion over the entire cardiac cycle discriminated infarcted from normal and border regions.
随着高分辨率心肌成像技术的发展，对能够准确量化局部功能的自动化技术的需求日益增长。
开发一种用于量化心内膜运动的空间和时间参数的新方法。
使用一种独特的基于形状的方法分析磁共振图像，该方法通过最小化弯曲能量在心动周期的特定点跟踪心内膜表面运动。
动物实验在康涅狄格州纽黑文市耶鲁大学核心脏病学实验研究实验室进行。磁共振成像在耶鲁纽黑文医院中心进行。
使用了8只杂种犬。
在左前降支冠状动脉闭塞前后获取心电图门控梯度回波磁共振图像。沿着自动定义的心内膜轮廓跟踪32个点。计算每个点在整个心动周期中从舒张末期开始的平均位移和累积路径长度。计算正常区、边缘区和梗死区收缩期四个季度中每个季度的平均累积路径长度。将基于形状的收缩期运动参数与中心线方法进行比较。梗死区通过死后组织化学染色定义。
梗死区和边缘区在心动周期中的位移和累积路径长度显著降低（P<0.05），但正常区无变化（P无显著性）。在所有区域均观察到运动的时间变化。与使用中心线方法测量的收缩期运动相比，使用基于形状的算法测量的位移比累积路径长度更一致。
一种基于形状的自动化方法允许从高分辨率心电图门控图像定量评估局部心内膜运动的空间和时间参数。对整个心动周期内心内膜运动和累积运动的分析可区分梗死区与正常区和边缘区。
