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Proceedings Paper

The dependence of Young’s modulus of trabecular bony tissue on its density according to computed tomography
Author(s): Pavel O. Dmitriev; Anastasiya A. Golyadkina; Leonid V. Bessonov; Irina I. Kirillova; Leonid Yu. Kossovich; Alexander S. Falkovich
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Paper Abstract

Planning of surgical reconstructive treatment of diseases and injuries of the vertebral-pelvic complex is a very responsible and complex challenge. For the successful outcome of surgery, doctors can use a prognosis based on a biomechanical simulation as support. It is very important for such simulation to know the physical properties, such as the estimation of Young's modulus value of bony tissues. The estimations of Young's modulus are possible only in vivo according to computed tomography (CT) since all calculations must be completed before the surgery. So the methods of determining proposed the value of Young's modulus (E) by Hounsfield units (HU) are proposed. Hounsfield units characterize the intensity of the gray color of bones on the tomogram. Within this article, in order to estimate the values of Young's modulus using the CT data, we performed a series of measurements in two ways on the same bony tissue samples. For the same bone tissue samples, measurements of Hounsfield units by a computer tomography data were first performed, and then during the experiment on the test machine, the values of maximum stresses and strains were determined, stressstrain graphs were constructed, and the values of Young's modulus were calculated. According to the results of two series of experiments, a comparative analysis was carried out. Note that changes caused by a disease or injury lead to an increase in bone heterogeneity, which is numerically expressed on the results of CT scan by an increase in the variation of Hounsfield units. The increase of HU variation in turn, affects the results of averaging, and consequently, the result of the study as a whole.

Paper Details

Date Published: 21 February 2020
PDF: 7 pages
Proc. SPIE 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, 112291L (21 February 2020); doi: 10.1117/12.2545077
Show Author Affiliations
Pavel O. Dmitriev, Saratov State Univ. (Russian Federation)
Anastasiya A. Golyadkina, Saratov State Univ. (Russian Federation)
Leonid V. Bessonov, Saratov State Univ. (Russian Federation)
Irina I. Kirillova, Saratov State Univ. (Russian Federation)
Leonid Yu. Kossovich, Saratov State Univ. (Russian Federation)
Alexander S. Falkovich, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11229:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII
Anita Mahadevan-Jansen, Editor(s)

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