Image-guided multiscale statistical model to mimic random bone structure

Z. Fang, W. Sun, B. Regli
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引用次数: 1

Abstract

A multiscale voxel modeling approach was presented to model the bone structure both in macroscopic and microscopic level. Based on the digital image, the overall macroscopic geometry of the vertebrate was acquired by traditional reverse engineering technology and the microscopic random trabecular network was described by two-point correlation function and the function was then used to reconstruct the bone microstructure. It was shown that the reconstructed model is statistically equivalent to the original structure in the microscopic level and has the overall feature as original bone.
图像引导的多尺度统计模型模拟随机骨结构
提出了一种多尺度体素建模方法,从宏观和微观两个层面对骨结构进行建模。在数字图像的基础上,采用传统的逆向工程技术获取脊椎动物整体宏观几何形状,利用两点相关函数描述微观随机小梁网络,并利用该函数重建骨骼微观结构。结果表明,重建模型在微观水平上与原骨结构统计等效,整体特征与原骨相似。
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