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Reconstruction of 3-D geometry using 2-D profiles and a geometric prior model

机译:使用2-D轮廓和几何先验模型重建3-D几何

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摘要

A method has been developed to reconstruct three-dimensional (3-D) surfaces from two-dimensional (2-D) projection data. It is used to produce individualized boundary element models, consisting of thorax and lung surfaces, for electro- and magnetocardiographic inverse problems. Two orthogonal projections are utilized. A geometrical prior model, built using segmented magnetic resonance images, is deformed according to profiles segmented from projection images. In the authors' method, virtual X-ray images of the prior model are first constructed by simulating real X-ray imaging. The 2-D profiles of the model are segmented from the projections and elastically matched with the profiles segmented from patient data. The displacement vectors produced by the elastic 2-D matching are back projected onto the 3-D surface of the prior model. Finally, the model is deformed, using the back-projected vectors. Two different deformation methods are proposed. The accuracy of the method is validated by a simulation. The average reconstruction error of a thorax and lungs was 1.22 voxels, corresponding to about 5 mm.
机译:已经开发了一种从二维(2-D)投影数据重建三维(3-D)曲面的方法。它用于生成由胸腔和肺表面组成的个性化边界元素模型,用于解决心电图和心电图逆问题。利用两个正交投影。使用分段的磁共振图像建立的几何先验模型根据从投影图像分段的轮廓进行变形。在作者的方法中,先通过模拟真实的X射线成像来构造先验模型的虚拟X射线图像。从投影中分割出模型的二维轮廓,并与从患者数据中分割出的轮廓进行弹性匹配。由弹性2-D匹配产生的位移矢量反投影到现有模型的3-D曲面上。最后,使用反投影矢量使模型变形。提出了两种不同的变形方法。通过仿真验证了该方法的准确性。胸部和肺部的平均重建误差为1.22体素,相当于约5毫米。

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