3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI.
3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI.
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DOI：
10.1007/978-3-319-59448-4_46
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发表时间：
2017-06
期刊：
影响因子：
--
通讯作者：
Metaxas D
中科院分区：
文献类型：
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作者：
Yang D;Wu P;Tan C;Pohl KM;Axel L;Metaxas D
左室壁运动分析是了解心脏功能机制和临床诊断心室疾病的关键步骤。提出了一种新的心脏磁共振成像（MRI）中左室壁三维运动建模和分析方法。首先，部署全卷积网络（FCN）以初始化2D MR切片中的心肌轮廓。然后，我们提出了一种图像配准算法，以对齐MR切片在空间和最大限度地减少不一致的呼吸不良的运动伪影。最后，应用三维可变形模型恢复心肌壁的形状和运动。利用所提出的方法，我们可以可视化地分析三维左室壁运动，评估心脏整体功能，并诊断心室疾病。
The analysis of left ventricle (LV) wall motion is a critical step for understanding cardiac functioning mechanisms and clinical diagnosis of ventricular diseases. We present a novel approach for 3D motion modeling and analysis of LV wall in cardiac magnetic resonance imaging (MRI). First, a fully convolutional network (FCN) is deployed to initialize myocardium contours in 2D MR slices. Then, we propose an image registration algorithm to align MR slices in space and minimize the undesirable motion artifacts from inconsistent respiration. Finally, a 3D deformable model is applied to recover the shape and motion of myocardium wall. Utilizing the proposed approach, we can visually analyze 3D LV wall motion, evaluate cardiac global function, and diagnose ventricular diseases.