Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography
Joint Authors
Flohr, Thomas G.
Weidinger, Thomas
Kappler, Steffen
Stierstorfer, Karl
Buzug, Thorsten M.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-17
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This work proposes a dedicated statistical algorithm to perform a direct reconstruction of material-decomposed images from data acquired with photon-counting detectors (PCDs) in computed tomography.
It is based on local approximations (surrogates) of the negative logarithmic Poisson probability function.
Exploiting the convexity of this function allows for parallel updates of all image pixels.
Parallel updates can compensate for the rather slow convergence that is intrinsic to statistical algorithms.
We investigate the accuracy of the algorithm for ideal photon-counting detectors.
Complementarily, we apply the algorithm to simulation data of a realistic PCD with its spectral resolution limited by K-escape, charge sharing, and pulse-pileup.
For data from both an ideal and realistic PCD, the proposed algorithm is able to correct beam-hardening artifacts and quantitatively determine the material fractions of the chosen basis materials.
Via regularization we were able to achieve a reduction of image noise for the realistic PCD that is up to 90% lower compared to material images form a linear, image-based material decomposition using FBP images.
Additionally, we find a dependence of the algorithms convergence speed on the threshold selection within the PCD.
American Psychological Association (APA)
Weidinger, Thomas& Buzug, Thorsten M.& Flohr, Thomas G.& Kappler, Steffen& Stierstorfer, Karl. 2016. Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography. International Journal of Biomedical Imaging،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1105421
Modern Language Association (MLA)
Weidinger, Thomas…[et al.]. Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography. International Journal of Biomedical Imaging No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1105421
American Medical Association (AMA)
Weidinger, Thomas& Buzug, Thorsten M.& Flohr, Thomas G.& Kappler, Steffen& Stierstorfer, Karl. Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography. International Journal of Biomedical Imaging. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1105421
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105421