THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES.
THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES.
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DOI：
10.1166/jmihi.2016.1812
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发表时间：
2016-10
影响因子：
--
通讯作者：
Dong XN
中科院分区：
文献类型：
--
作者：
Shirvaikar M;Huang N;Dong XN
在本文中，统计方法估计骨质量预测骨折的风险。骨密度和骨结构特性是骨质量的主要贡献者。双能X射线吸收测定法（DXA）是骨密度的传统临床测量技术，但不包括建筑信息，以提高骨脆性的预测。由于费用和获取方面的考虑，其他模式不切实际。本研究基于从二维投影图像中提取的灰度共生矩阵（GLCM）研究统计参数，并探索与建筑特性和骨力学的联系。对13例小梁骨的Micro-CT图像（面内空间分辨率约为50μm）进行数据分析。基于复杂的3D分析和力学测试，可获得骨体积分数（BV/TV）、骨强度和模量的地面真实数据。统计参数与生物力学测试结果之间的相关性进行了研究，采用回归分析。结果表明，骨小梁的微结构与骨小梁的色度有很强的相关性，并与力学性能有关。一旦建立了利用二阶统计量的原理，它可以扩展到其他模式，为患者和医生提供成本和便利优势。
In this paper, statistical methods for the estimation of bone quality to predict the risk of fracture are reported. Bone mineral density and bone architecture properties are the main contributors of bone quality. Dual-energy X-ray Absorptiometry (DXA) is the traditional clinical measurement technique for bone mineral density, but does not include architectural information to enhance the prediction of bone fragility. Other modalities are not practical due to cost and access considerations. This study investigates statistical parameters based on the Gray Level Co-occurrence Matrix (GLCM) extracted from two-dimensional projection images and explores links with architectural properties and bone mechanics. Data analysis was conducted on Micro-CT images of 13 trabecular bones (with an in-plane spatial resolution of about 50μm). Ground truth data for bone volume fraction (BV/TV), bone strength and modulus were available based on complex 3D analysis and mechanical tests. Correlation between the statistical parameters and biomechanical test results was studied using regression analysis. The results showed Cluster-Shade was strongly correlated with the microarchitecture of the trabecular bone and related to mechanical properties. Once the principle thesis of utilizing second-order statistics is established, it can be extended to other modalities, providing cost and convenience advantages for patients and doctors.
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影响因子：
4.1
作者：
Leslie, W. D.;Aubry-Rozier, B.;Hans, D.
通讯作者：
Hans, D.
影响因子：
4.1
作者：
Pothuaud, Laurent;Carceller, Pascal;Hans, Didier
通讯作者：
Hans, Didier
影响因子：
2.5
作者：
Pothuaud, Laurent;Barthe, Nicole;Hans, Didier
通讯作者：
Hans, Didier
DOI：
10.1111/j.1365-2389.1986.tb00392.x
发表时间：
1986-12-01
期刊：
JOURNAL OF SOIL SCIENCE
影响因子：
--
作者：
MCBRATNEY, AB;WEBSTER, R
通讯作者：
WEBSTER, R
影响因子：
2.5
作者：
GERSHO, A
通讯作者：
GERSHO, A