9 March 2017 Stationary intraoral tomosynthesis for dental imaging
Author Affiliations +
Despite recent advances in dental radiography, the diagnostic accuracies for some of the most common dental diseases have not improved significantly, and in some cases remain low. Intraoral x-ray is the most commonly used x-ray diagnostic tool in dental clinics. It however suffers from the typical limitations of a 2D imaging modality including structure overlap. Cone-beam computed tomography (CBCT) uses high radiation dose and suffers from image artifacts and relatively low resolution. The purpose of this study is to investigate the feasibility of developing a stationary intraoral tomosynthesis (s-IOT) using spatially distributed carbon nanotube (CNT) x-ray array technology, and to evaluate its diagnostic accuracy compared to conventional 2D intraoral x-ray. A bench-top s-IOT device was constructed using a linear CNT based X-ray source array and a digital intraoral detector. Image reconstruction was performed using an iterative reconstruction algorithm. Studies were performed to optimize the imaging configuration. For evaluation of s-IOT’s diagnostic accuracy, images of a dental quality assurance phantom, and extracted human tooth specimens were acquired. Results show s-IOT increases the diagnostic sensitivity for caries compared to intraoral x-ray at a comparable dose level.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christina R. Inscoe, Christina R. Inscoe, Gongting Wu, Gongting Wu, Danai Elena Soulioti, Danai Elena Soulioti, Enrique Platin, Enrique Platin, Andre Mol, Andre Mol, Laurence R. Gaalaas, Laurence R. Gaalaas, Michael R. Anderson, Michael R. Anderson, Andrew W. Tucker, Andrew W. Tucker, Sarah Boyce, Sarah Boyce, Jing Shan, Jing Shan, Brian Gonzales, Brian Gonzales, Jianping Lu, Jianping Lu, Otto Zhou, Otto Zhou, } "Stationary intraoral tomosynthesis for dental imaging", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013203 (9 March 2017); doi: 10.1117/12.2254632; https://doi.org/10.1117/12.2254632


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