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首页> 外文会议>Pan American Health Care Exchanges Conference >Segmenting 3D X-Ray microtomography using two different approaches: Morphological filters and Artificial Ant Colony
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Segmenting 3D X-Ray microtomography using two different approaches: Morphological filters and Artificial Ant Colony

机译：使用两种不同的方法分割3D X射线显微图：形态过滤器和人工蚁群

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Three-dimensional X-Ray Micromotomography (3D µCT) has become an important tool to investigate bone morphology. Several investigators have searched a standard method for determining the optimal threshold value (optimal TH) to segment microtomographic images and quantify the bone morphology. The Conventional methods are based on subjective methods, and it is possible to obtain under or overestimated TH values. In this work, two automatic methods for segmenting 3D µCT are presented. The first one is based on Morphological Filters and Otsu's method (MFO), and the other one is based Artificial Ant Colony (AAC). Both method performances are evaluated quantitatively using a numerical phantom which mimics a trabecular bone. Besides, the proposed methods are applied to segment a microtomographic image from a rat vertebral bone. The segmented image of phantom based on AAC method showed results closer to the binary reference image of the numerical phantom and the histomorphometric parameters values presented smaller error (11.3%) than the one based on MFO (22.4%). When the methods were applied to segment a microtomographic image, the performances were compatible, and the histomorphometric parameter values present differences inferior to 9%.
机译：三维X射线微调映射（3D＆＃x00b5; ct）已成为调查骨骼形态学的重要工具。几个研究人员已经搜索了用于确定最佳阈值（最佳TH）的标准方法，以分段微调图像并量化骨骼形态。传统方法基于主观方法，并且可以获得下限或高估的值。在这项工作中，提出了两种用于分割3D＆＃x00b5的自动方法;提出了ct。第一个基于形态过滤器和OTSU的方法（MFO），另一个是基于人工蚁群（AAC）。使用模拟小梁骨的数值模型来定量评估这两种方法性能。此外，所提出的方法应用于从大鼠椎骨骨分段进行微调图像。基于AAC方法的幻像的分段图像显示出更接近数值模型的二进制参考图像的结果，并且组织级别参数值呈现比基于MFO的误差（11.3％）（22.4％）。当施加该方法以分段进行微调图像时，性能兼容，并且组织形态的参数值存在于9％差的差异。

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