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电阻抗光谱法作为一种恢复骨孔隙率的潜在工具。

Electrical impedance spectroscopy as a potential tool for recovering bone porosity.

作者信息

Bonifasi-Lista C, Cherkaev E

机构信息

Bioengineering Department, University of Utah, 72 South Central Campus Drive, Room 2646, Salt Lake City, UT 84112, USA.

出版信息

Phys Med Biol. 2009 May 21;54(10):3063-82. doi: 10.1088/0031-9155/54/10/007. Epub 2009 Apr 27.

Abstract

This paper deals with the recovery of porosity of bone from measurements of its effective electrical properties. The microstructural information is contained in the spectral measure in the Stieltjes representation of the bone effective complex permittivity or complex conductivity and can be recovered from the measurements over a range of frequencies. The problem of reconstruction of the spectral measure is very ill-posed and requires the use of regularization techniques. We apply the method to the effective electrical properties of cancellous bone numerically calculated using micro-CT images of human vertebrae. The presented method is based on an analytical approach and does not rely on correlation analysis nor on any a priori model of the bone micro-architecture. However the method requires a priori knowledge of the properties of the bone constituents (trabecular tissue and bone marrow). These properties vary from patient to patient. To address this issue, a sensitivity analysis of the technique was performed. Normally distributed random noise was added to the data to simulate uncertainty in the properties of the constituents and possible experimental errors in measurements of the effective properties. The values of porosity calculated from effective complex conductivity are in good agreement with the true values of bone porosity even assuming high level errors in the estimation of the bone components. These results prove the future potential of electrical impedance spectroscopy for in vivo monitoring of level and treatment of osteoporosis.

摘要

本文通过对骨的有效电学性质进行测量来研究骨孔隙率的恢复情况。微观结构信息包含在骨有效复介电常数或复电导率的斯蒂尔杰斯表示中的谱测度中,并且可以从一系列频率的测量中恢复出来。谱测度的重建问题是严重不适定的,需要使用正则化技术。我们将该方法应用于使用人类椎骨的微观CT图像数值计算得到的松质骨有效电学性质。所提出的方法基于一种解析方法,不依赖于相关分析,也不依赖于任何骨微结构的先验模型。然而,该方法需要骨成分(小梁组织和骨髓)性质的先验知识。这些性质因患者而异。为了解决这个问题,对该技术进行了敏感性分析。向数据中添加正态分布的随机噪声,以模拟成分性质的不确定性以及有效性质测量中可能的实验误差。即使在假设骨成分估计存在高水平误差的情况下,由有效复电导率计算得到的孔隙率值与骨孔隙率的真实值也非常吻合。这些结果证明了电阻抗谱在骨质疏松症水平监测和治疗的体内应用方面的未来潜力。

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