Lalande A, Legrand L, Walker P M, Guy F, Cottin Y, Roy S, Brunotte F
Laboratoire de Biophysique, Faculté de Médecine, Université de Bourgogne, Dijon, France.
Invest Radiol. 1999 Mar;34(3):211-7. doi: 10.1097/00004424-199903000-00010.
Gated cardiac cine magnetic resonance imaging provides accurate dynamic data of the left ventricular function. However, the manual extraction of important physiologic parameters such as myocardium wall thickness and left ventricular volumes is invariably time consuming and subjective. To reduce the variability and time constraints inherent in observer contour tracing, the authors developed an automatic left ventricle contour-detection method.
The purpose was to apply fuzzy logic-based automatic contour detection to identification of endocardial and epicardial borders in short-axis magnetic resonance images. The automatic contouring was compared with manual tracing using the calculated ejection fraction as the comparison criterion.
A good correlation was found between the two approaches (r2 = 0.98).
The ejection fraction can be obtained using this automatic contouring method.
门控心脏电影磁共振成像可提供左心室功能的准确动态数据。然而，手动提取诸如心肌壁厚度和左心室容积等重要生理参数总是既耗时又主观。为减少观察者轮廓追踪中固有的变异性和时间限制，作者开发了一种自动左心室轮廓检测方法。
目的是将基于模糊逻辑的自动轮廓检测应用于短轴磁共振图像中的心内膜和心外膜边界识别。以计算出的射血分数作为比较标准，将自动轮廓描绘与手动追踪进行比较。
两种方法之间发现有良好的相关性（r2 = 0.98）。
使用这种自动轮廓描绘方法可获得射血分数。
