Density estimation based on the Hounsfield unit value of cone beam computed tomography imaging of the jawbone system.
Maya GenisaSolehuddin ShuibZainul Ahmad RajionErry Mochamad AriefMaman HermanaPublished in: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine (2018)
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).
Keyphrases
- cone beam computed tomography
- soft tissue
- spinal cord
- bone mineral density
- high resolution
- electronic health record
- spinal cord injury
- computed tomography
- single cell
- magnetic resonance imaging
- bone regeneration
- machine learning
- bone loss
- deep learning
- data analysis
- photodynamic therapy
- artificial intelligence
- image quality