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Automatic Short Axis Orientation of the Left Ventricle in 3D Ultrasound Recordings

机译:3D超声记录中左心室的自动短轴方向

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The recent advent of three-dimensional echocardiography has led to an increased interest from the scientific community in left ventricle segmentation frameworks for cardiac volume and function assessment. An automatic orientation of the segmented left ventricular mesh is an important step to obtain a point-to-point correspondence between the mesh and the cardiac anatomy. Furthermore, this would allow for an automatic division of the left ventricle into the standard 17 segments and, thus, fully automatic per-segment analysis, e.g. regional strain assessment. In this work, a method for fully automatic short axis orientation of the segmented left ventricle is presented. The proposed framework aims at detecting the inferior right ventricular insertion point. 211 three-dimensional echocardiographic images were used to validate this framework by comparison to manual annotation of the inferior right ventricular insertion point. A mean unsigned error of 8,05° ± 18,50° was found, whereas the mean signed error was 1,09°. Large deviations between the manual and automatic annotations (> 30°) only occurred in 3,79% of cases. The average computation time was 666ms in a non-optimized MATLAB environment, which potentiates real-time application. In conclusion, a successful automatic real-time method for orientation of the segmented left ventricle is proposed.
机译:三维超声心动图的最新出现已引起科学界对左心室分割框架用于心脏容量和功能评估的兴趣增加。分段的左心室网格的自动定向是获得网格和心脏解剖结构之间点对点对应关系的重要步骤。此外,这将允许将左心室自动划分为标准的17个节段,从而实现全自动的每个节段的分析,例如:区域应变评估。在这项工作中,提出了一种用于分段左心室的全自动短轴定向的方法。提出的框架旨在检测右下室的插入点。通过与右下室插入点的手动注释进行比较,使用了211张三维超声心动图图像来验证该框架。发现平均无符号误差为8.05°±18.50°,而平均无符号误差为1.09°。手动注释和自动注释之间的较大偏差(> 30°)仅发生在3.79%的情况下。在未经优化的MATLAB环境中,平均计算时间为666ms,这增强了实时应用程序的性能。总之,提出了一种成功的自动实时的分割左心室方向的方法。

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