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Method and System for Pericardium Based Model Fusion of Pre-operative and Intra-operative Image Data for Cardiac Interventions

机译:基于心包的心脏介入术前和术中图像数据模型融合的方法和系统

摘要

A method and system for model based fusion pre-operative image data, such as computed tomography (CT), and intra-operative C-arm CT is disclosed. A first pericardium model is segmented in the pre-operative image data and a second pericardium model is segmented in a C-arm CT volume. A deformation field is estimated between the first pericardium model and the second pericardium model. A model of a target cardiac structure, such as a heart chamber model or an aorta model, extracted from the pre-operative image data is fused with the C-arm CT volume based on the estimated deformation field between the first pericardium model and the second pericardium model. An intelligent weighted average may be used improve the model based fusion results using models of the target cardiac structure extracted from pre-operative image data of patients other than a current patient.
机译:公开了一种用于基于模型的融合术前图像数据(例如计算机断层扫描(CT))和术中C臂CT的方法和系统。第一心包模型在术前图像数据中被分割,第二心包模型在C臂CT体积中被分割。估计第一心包模型和第二心包模型之间的变形场。基于第一心包模型和第二心包模型之间的估计变形场,将从术前图像数据中提取的目标心脏结构模型(例如心室模型或主动脉模型)与C臂CT体积融合心包模型。可以使用智能加权平均值来改善基于模型的融合结果,该融合结​​果使用的是从当前患者以外的患者的术前图像数据中提取的目标心脏结构模型。

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