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使用混合图谱的二维/三维可变形配准

2D/3D deformable registration using a hybrid atlas.

作者信息

Tang Thomas S Y, Ellis Randy E

机构信息

School of Computing, Queen's University, Kingston, Canada K7L 3N6.

出版信息

Med Image Comput Comput Assist Interv. 2005;8(Pt 2):223-30. doi: 10.1007/11566489_28.

Abstract

Statistical atlases built by point distribution models (PDMs) using a novel hybrid 3D shape model were used for surface reconstruction. The hybrid shape model removes the need for global scaling in aligning training examples and instance generation, thereby allowing the PDM to capture a wider range of variations. The atlases can be used to reconstruct, or deformably register, the surface model of an object from just two to four 2D x-ray projections of the object. The methods was tested using proximal and distal femurs. Results of simulated projections and fluoroscopic images of cadaver knees show that the new instances can be registered with an accuracy of about 2 mm.

摘要

利用新型混合三维形状模型通过点分布模型(PDM)构建的统计图谱用于表面重建。混合形状模型消除了在对齐训练示例和实例生成过程中进行全局缩放的需求,从而使PDM能够捕捉更广泛的变化。这些图谱可用于仅根据物体的两到四张二维X射线投影来重建或变形配准物体的表面模型。该方法使用股骨近端和远端进行了测试。尸体膝盖的模拟投影和荧光透视图像结果表明,新实例的配准精度约为2毫米。

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