Density estimation based on the Hounsfield unit value of cone beam computed tomography imaging of the jawbone system

The aim of this study is to investigate the estimation of density from the Hounsfield unit of cone beam computed tomography data in dental imaging, especially for dental implant application. A jaw phantom with various known densities of anatomical parts (e.g. soft tissue, cortical bone, trabecular b...

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Bibliographic Details
Published in:Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Journal of engineering in medicine, 2018-12, Vol.232 (12), p.1168-1175
Main Authors: Genisa, Maya, Shuib, Solehuddin, Rajion, Zainul Ahmad, Arief, Erry Mochamad, Hermana, Maman
Format: Article
Language:English
Subjects:
Bone density
Cancellous bone
Computation
Computed tomography
Correlation coefficient
Correlation coefficients
Cortical bone
Data processing
Dental enamel
Dental implants
Dental materials
Dental restorative materials
Dentin
Intervertebral discs
Jaw
Jawbone
Medical imaging
Spinal cord
Teeth
Tomography
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Summary:The aim of this study is to investigate the estimation of density from the Hounsfield unit of cone beam computed tomography data in dental imaging, especially for dental implant application. A jaw phantom with various known densities of anatomical parts (e.g. soft tissue, cortical bone, trabecular bone, tooth enamel, tooth dentin, sinus cavity, spinal cord and spinal disc) has been used to test the accuracy of the Hounsfield unit of cone beam computed tomography in estimating the mechanical density (true density). The Hounsfield unit of cone beam computed tomography data was evaluated via the MIMICS software using both two-dimensional and three-dimensional methods, and the results showed correlation with the true density of the object. In addition, the results revealed that the Hounsfield unit of cone beam computed tomography and bone density had a logarithmic relation, rather than a linear one. To this end, the correlation coefficient of logarithmic correlation (R2 = 0.95) is higher than the linear one (R2 = 0.77).
ISSN:0954-4119
2041-3033
DOI:10.1177/0954411918806333