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Extracting 3D information on bone remodeling in the proximity of titanium implants in SRmuCT image volumes.

机译:在SRmuCT图像体积中的钛植入物附近提取有关骨骼重塑的3D信息。

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摘要

Bone-implant integration is measured in several ways. Traditionally and routinely, 2D histological sections of samples, containing bone and the biomaterial, are stained and analyzed using a light microscope. Such histological section provides detailed cellular information about the bone regeneration in the proximity of the implant. However, this information reflects the integration in only a very small fraction, a 10 mum thick slice, of the sample. In this study, we show that feature values quantified on 2D sections are highly dependent on the orientation and the placement of the section, suggesting that a 3D analysis of the whole sample is of importance for a more complete judgment of the bone structure in the proximity of the implant. We propose features describing the 3D data by extending the features traditionally used for 2D-analysis. We present a method for extracting these features from 3D image data and we measure them on five 3D SRmuCT image volumes. We also simulate cuts through the image volume positioned at all possible section positions. These simulations show that the measurement variations due to the orientation of the section around the center line of the implant are about 30%.
机译:骨-植入物的整合可以通过多种方式进行测量。传统上和常规上,使用光学显微镜对包含骨骼和生物材料的2D组织切片进行染色和分析。这种组织学部分提供了有关植入物附近骨再生的详细细胞信息。但是,此信息仅反映了样品中很小一部分(10毫米厚的切片)的积分。在这项研究中,我们显示了在2D切片上量化的特征值高度依赖于切片的方向和位置,这表明对整个样品进行3D分析对于更完整地判断邻近区域的骨结构非常重要。植入物。我们通过扩展传统上用于2D分析的功能来提出描述3D数据的功能。我们提出了一种从3D图像数据中提取这些特征的方法,并在五个3D SRmuCT图像体积上对其进行了测量。我们还模拟了在所有可能的剖面位置上定位的图像体积的剪切。这些模拟表明,由于截面围绕植入物中心线的方向而导致的测量变化约为30%。

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