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Improved Method of Medical Image Reconstruction Based on MC Algorithm

机译:基于MC算法的医学图像重建方法改进

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Some improvements were put forward to modify the medical image reconstruction method based on MC algorithm. Computing redundancy, bad expansibility and "scalelike effect" lie in standard MC algorithm now. To solve the repeating calculation redundant problem, a suitable data structure was applied to seek cubes; by making segmentation result as the input of MC algorithm, the author eliminated the limitation of expansibility; by smoothing the normal vector of isosurfaces, this paper improved the image displaying effect. Finally, a special storage data structure was designed to save the non-manifold triangle model obtained from MC algorithm. The modification mentioned above has been realized in 3D reconstructing software-MedLG which was developed by authors' institute and applied successfully in customized prostheses designing already. Moreover, The reconstructed model can also be used in biomechanics researching.
机译:提出了一些改进来修改基于MC算法的医学图像重建方法。计算冗余,可不良的可扩展性和“缩小效果”现在位于标准MC算法中。为了解决重复计算冗余问题,应用了合适的数据结构来寻找立方体;通过将分割结果作为MC算法的输入,提交人消除了可扩展性的限制;通过平滑Isosurfaces的正常矢量,本文提高了图像显示效果。最后,设计了一种特殊的存储数据结构,以保存从MC算法获得的非歧管三角模型。上面提到的修改已经在3D重建软件-Medlg中实现了由作者研究所开发的3D重建软件 - Medlg,并在定制的假体设计中成功应用。此外,重建的模型也可以用于生物力学研究。

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