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Proceedings Paper

Prospective gated chest tomosynthesis using CNT X-ray source array
Author(s): Jing Shan; Laurel Burk; Gongting Wu; Yueh Z. Lee; Michael D. Heath; Xiaohui Wang; David Foos; Jianping Lu; Otto Zhou
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Paper Abstract

Chest tomosynthesis is a low-dose 3-D imaging modality that has been shown to have comparable sensitivity as CT in detecting lung nodules and other lung pathologies. We have recently demonstrated the feasibility of stationary chest tomosynthesis (s-DCT) using a distributed CNT X-ray source array. The technology allows acquisition of tomographic projections without moving the X-ray source. The electronically controlled CNT x-ray source also enables physiologically gated imaging, which will minimize image blur due to the patient’s respiration motion. In this paper, we investigate the feasibility of prospective gated chest tomosynthesis using a bench-top s-DCT system with a CNT source array, a high- speed at panel detector and realistic patient respiratory signals captured using a pressure sensor. Tomosynthesis images of inflated pig lungs placed inside an anthropomorphic chest phantom were acquired at different respiration rate, with and without gating for image quality comparison. Metal beads of 2 mm diameter were placed on the pig lung for quantitative measure of the image quality. Without gating, the beads were blurred to 3:75 mm during a 3 s tomosynthesis acquisition. When gated to the end of the inhalation and exhalation phase the detected bead size reduced to 2:25 mm, much closer to the actual bead size. With gating the observed airway edges are sharper and there are more visible structural details in the lung. Our results demonstrated the feasibility of prospective gating in the s-DCT, which substantially reduces image blur associated with lung motion.

Paper Details

Date Published: 18 March 2015
PDF: 7 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941242 (18 March 2015); doi: 10.1117/12.2081701
Show Author Affiliations
Jing Shan, Univ. of North Carolina at Chapel Hill (United States)
Laurel Burk, Univ. of North Carolina at Chapel Hill (United States)
Gongting Wu, Univ. of North Carolina at Chapel Hill (United States)
Yueh Z. Lee, Univ. of North Carolina at Chapel Hill (United States)
Michael D. Heath, Carestream Health, Inc. (United States)
Xiaohui Wang, Carestream Health, Inc. (United States)
David Foos, Carestream Health, Inc. (United States)
Jianping Lu, Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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