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Three-Dimensional Reconstruction of Medical Image Based on Improved Marching Cubes Algorithm

机译:基于改进Marching Cubes算法的医学图像三维重建

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An approach is proposed for medical three-dimensional reconstruction in view of the characteristics of modern medical image in this paper. The approach based on the traditional Marching Cubes algorithm combines with seed-occupying algorithm to expand isosurface for avoiding the detection of empty cubes and replaces cell edge interpolation by midpoint selection with DMC method. Finally, the isosurface is generated directly by polygons which are ordered by isopoints. Because the approach uses polygons instead of triangles without resorting to the pre-defined cases, it reduces the number of faces greatly and gives a good solution to the ambiguity problem. The experiment results show that the proposed approach makes a significant improvement in several aspects, including topological structure, storage space and processing speed than the traditional method. Therefore, it is propitious to real-time and interactive operation with computer by less hardware cost.
机译:针对现代医学影像的特点,提出了一种医学三维重建方法。该方法基于传统的Marching Cubes算法,结合了种子占据算法,扩展了等值面,从而避免了空立方体的检测,并通过DMC方法用中点选择代替了单元边缘插值。最后,等值面直接由按等值点排序的多边形生成。由于该方法使用多边形而不是三角形而不使用预定义的情况,因此它大大减少了面的数量,并为解决歧义问题提供了一个很好的解决方案。实验结果表明,与传统方法相比,该方法在拓扑结构,存储空间和处理速度等方面都有了很大的提高。因此,有利于以较少的硬件成本与计算机进行实时交互操作。

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