
Proceedings Paper
Characterization of spectral x-ray imaging for dental cone-beam computed tomographyFormat | Member Price | Non-Member Price |
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Paper Abstract
The recent advancement in detector technology contributed towards the development of
photon counting detectors with the ability to discriminate photons according to their energy
on reaching the detector. This provides spectral information about the acquired object; thus,
giving additional data on the type of material as well as its density. In this paper, we
investigate possible reduction of dental artifacts in cone-beam CT (CBCT) via integration of
spectral information into a penalized maximum log-likelihood algorithm. For this
investigation we simulated (with Monte-Carlo CT simulator) a virtual jaw phantom, which
replicates components of a real jaw such as soft-tissue, bone, teeth and gold crowns. A
maximum-likelihood basis-component decomposition technique was used to calculate
sinograms of the individual materials. The decomposition revealed the spatial as well as
material density of the dental implant. This information was passed on as prior information
into the penalized maximum log-likelihood algorithm. The resulting reconstructions showed
significant reduced streaking artifacts. The overall image quality is improved such that the
contrast-to-noise ratio increased compared to the conventional FBP reconstruction. In this
work we presented a new algorithm that makes use of spectral information to provide a prior
for a penalized maximum log-likelihood algorithm.
Paper Details
Date Published: 6 March 2013
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684S (6 March 2013); doi: 10.1117/12.2008072
Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684S (6 March 2013); doi: 10.1117/12.2008072
Show Author Affiliations
Radin Adi Aizudin Bin Radin Nasirudin, Technische Univ. München (Germany)
Petar Penchev, Technische Hochschule Mittelhessen (Germany)
Kai Mei, Technische Univ. München (Germany)
Petar Penchev, Technische Hochschule Mittelhessen (Germany)
Kai Mei, Technische Univ. München (Germany)
Ernst J. Rummeny M.D., Technische Univ. München (Germany)
Martin Fiebich, Technische Hochschule Mittelhessen (Germany)
Peter B. Noël, Technische Univ. München (Germany)
Martin Fiebich, Technische Hochschule Mittelhessen (Germany)
Peter B. Noël, Technische Univ. München (Germany)
Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)
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