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Proceedings Paper

Stationary intraoral tomosynthesis for dental imaging
Author(s): Christina R. Inscoe; Gongting Wu; Danai Elena Soulioti; Enrique Platin; Andre Mol; Laurence R. Gaalaas; Michael R. Anderson; Andrew W. Tucker; Sarah Boyce; Jing Shan; Brian Gonzales; Jianping Lu; Otto Zhou
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Paper Abstract

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.

Paper Details

Date Published: 9 March 2017
PDF: 8 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013203 (9 March 2017); doi: 10.1117/12.2254632
Show Author Affiliations
Christina R. Inscoe, The Univ. of North Carolina at Chapel Hill (United States)
Gongting Wu, The Univ. of North Carolina at Chapel Hill (United States)
Danai Elena Soulioti, The Univ. of North Carolina at Chapel Hill (United States)
Enrique Platin, UNC School of Dentistry (United States)
Andre Mol, UNC School of Dentistry (United States)
Laurence R. Gaalaas, UNC School of Dentistry (United States)
Michael R. Anderson, UNC School of Dentistry (United States)
Andrew W. Tucker, XinVivo, Inc. (United States)
Sarah Boyce, XinVivo, Inc. (United States)
Jing Shan, XinVivo, Inc. (United States)
Brian Gonzales, XinVivo, Inc. (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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