论文标题
在心脏MRI中使用多标签融合的自动右心室分割
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI
论文作者
论文摘要
右心室（RV）的准确分割是评估心室结构和功能的关键步骤。然而，由于其复杂的解剖结构和RV的运动分割，尚未像左心室那样在很大程度上研究。本文提出了一种在心脏磁共振图像（MRI）中分割RV的全自动方法。该方法将粗到最新的分割策略与多ATLAS繁殖分割框架结合使用。基于跨相关度量，我们的方法选择了传播的最佳地图集，从而使分割的每次迭代在传播的每次迭代中进行完善。对心脏MRI中RV分割挑战提供的32个心脏MRI数据集进行了评估。
Accurate segmentation of the right ventricle (RV) is a crucial step in the assessment of the ventricular structure and function. Yet, due to its complex anatomy and motion segmentation of the RV has not been as largely studied as the left ventricle. This paper presents a fully automatic method for the segmentation of the RV in cardiac magnetic resonance images (MRI). The method uses a coarse-to-fine segmentation strategy in combination with a multi-atlas propagation segmentation framework. Based on a cross correlation metric, our method selects the best atlases for propagation allowing the refinement of the segmentation at each iteration of the propagation. The proposed method was evaluated on 32 cardiac MRI datasets provided by the RV Segmentation Challenge in Cardiac MRI.
