Automated model-based segmentation of the left and right ventricles in tagged cardiac MRI
Automated model-based segmentation of the left and right ventricles in tagged cardiac MRI
复制标题
DOI：
10.1007/978-3-540-39899-8_63
复制
发表时间：
2003-01-01
期刊：
影响因子：
--
通讯作者：
Axel, L
中科院分区：
文献类型：
--
作者：
Montillo, A;Metaxas, D;Axel, L
我们描述了一种基于模型的自动化方法，用于在 4D 标记 MR 中分割左心室和右心室。我们将 3D 心外膜和心内膜表面模型拟合到从图像数据中提取的心室特征。使用新颖的方法实现了出色的分割，这些方法 (1) 初始化模型和 (2) 从 2D 标记的 MR 图像计算 3D 模型力。 3D 力将模型引导至患者特定的解剖结构，同时通过薄板的内部变形应变能调整拟合。变形持续直至力平衡或消失。对正常和患病受试者进行定量和定性的分割验证。
We describe an automated, model-based method to segment the left and right ventricles in 4D tagged MR. We fit 3D epicardial and endocardial surface models to ventricle features we extract from the image data. Excellent segmentation is achieved using novel methods that (1) initialize the models and (2) that compute 3D model forces from 2D tagged MR images. The 3D forces guide the models to patient-specific anatomy while the fit is regularized via internal deformation strain energy of a thin plate. Deformation continues until the forces equilibrate or vanish. Validation of the segmentations is performed quantitatively and qualitatively on normal and diseased subjects.