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Reconstruction of three-dimensional objects using labeled piecewise smooth subdivision surfaces

机译:使用标记的分段光滑细分曲面重建三维对象

摘要

A method is disclosed for reconstructing a surface of an object using three-dimensional imaging data. While the method can be applied to reconstruct the surface of almost any object represented by three- dimensional data obtained by some imaging modality, an example of the technique is disclosed that reconstructs the surface of a left ventricle. In the disclosed example, digital imaging data for a patient's heart are traced producing a data set of points that define the border and specific anatomic features of the left ventricle. An abstract model of a generalized left ventricle is generated that fits a wide range of sizes and shapes of this portion of the heart. The abstract model includes an abstract control mesh in which the anatomic features are labeled and sharp (edge) characteristics are identified. Coordinates are assigned to the abstract control mesh, producing an initial embedded mesh, which is then subdivided twice to increase its smoothness. The embedded subdivided mesh is rigidly aligned with the data set points of the patient's left ventricle, and in particular, with the anatomic features. Finally, the aligned subdivided mesh is optimally fit to the data set points and anatomic features, yielding the reconstructed surface of the organ. The reconstruction of a surface using medical imaging data is a particularly good exemplary application of the invention, because it shows that the method can be employed for reconstructing the surface of any three- dimensional object that is defined by relatively sparse and noisy data points.
机译:公开了一种用于使用三维成像数据重建物体表面的方法。尽管该方法可以应用于重构由通过某些成像模态获得的三维数据所表示的几乎任何物体的表面,但是公开了重构左心室表面的技术示例。在所公开的示例中,追踪患者心脏的数字成像数据,从而产生定义左心室的边界和特定解剖特征的点的数据集。生成了广义左心室的抽象模型,该模型适合心脏的这一部分的各种大小和形状。抽象模型包括一个抽象控制网格,其中标记了解剖特征并标识了鲜明的(边缘)特征。将坐标分配给抽象控制网格,生成初始的嵌入式网格,然后将其细分两次以提高其平滑度。嵌入的细分网格与患者左心室的数据设置点(尤其是解剖特征)严格对齐。最后,对齐的细分网格最适合数据设置点和解剖特征,从而产生器官的重建表面。使用医学成像数据重建表面是本发明的特别好的示例性应用,因为它表明该方法可用于重建由相对稀疏和嘈杂的数据点定义的任何三维物体的表面。

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