Stationary intraoral tomosynthesis for dental imaging

Christina R. Inscoe, Gongting Wu, Danai E. Soulioti, Enrique Platin, Andre Mol, Laurence R. Gaalaas, Michael R. Anderson, Andrew W. Tucker, Sarah Boyce, Jing Shan, Brian Gonzales, Jianping Lu, Otto Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2017
Subtitle of host publicationPhysics of Medical Imaging
EditorsTaly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
ISBN (Electronic)9781510607095
StatePublished - 2017
EventMedical Imaging 2017: Physics of Medical Imaging - Orlando, United States
Duration: Feb 13 2017Feb 16 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


OtherMedical Imaging 2017: Physics of Medical Imaging
Country/TerritoryUnited States

Bibliographical note

Funding Information:
The project was supported by grants from NIDCR (1R43DE024933-01), A NIH grant from the Clinical and Translational Science Award (CTSA) at UNC (Grant #IHHAR21506), and Xintek.

Publisher Copyright:
© 2017 SPIE.


  • DIAG (Diagnostic imaging)
  • TSY (Tomosynthesis)
  • XIM (X-ray imaging)


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