Abstract：
Abnormal atrioventricular valve present great challenges to the surgeon in achieving a successful repair, and thus present a great opportunity for enhanced 3D imaging to guide pre- and intra-operative management. Spatial and temporal resolution of 3D echocardiography enables 3D printing of valve morphology. However, non-linearity, angle dependence, speckle, blur, and resampling complicate segmentation compared to computed tomography (CT) and magnetic resonance imaging (MRI). A case of complex mitral valve disease in a pediatric patient is therefore presented to illustrate the technical challenges of segmentation and 3D printing from echocardiographic data.
摘要：
房室瓣异常给外科医生成功修复带来了巨大挑战。因此，为增强的3D成像提供了一个很好的机会，以指导术前和术中管理。3D超声心动图的空间和时间分辨率使得能够3D打印瓣膜形态。然而,非线性，角度依赖性，斑点,blur,与计算机断层扫描（CT）和磁共振成像（MRI）相比，重采样和复杂的分割。因此，介绍了儿科患者中复杂的二尖瓣疾病的情况，以说明根据超声心动图数据进行分割和3D打印的技术挑战。
