Electrical impedance spectroscopy as a potential tool for recovering bone porosity.
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.
Bonifasi-Lista
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Bioengineering Department, University of Utah, 72 South Central Campus Drive, Room 2646, Salt Lake City, UT 84112, USA. cb28@utah.edu
Cherkaev
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D000465:Algorithms; D015519:Bone Density / Q000502:physiology*; D001842:Bone and Bones / Q000502:physiology*; D003720:Densitometry / Q000379:methods*; D017097:Electric Impedance; D006801:Humans; D010992:Plethysmography, Impedance / Q000379:methods*; D016062:Porosity; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity