Analytical model for pulse pileup in photon counting detectors with seminonparalyzable behavior

2021 ◽  
Author(s):  
Yirong Yang ◽  
Norbert Pelc ◽  
Adam Wang
Keyword(s):  
Analytical Model ◽  
Photon Counting ◽  
Pulse Pileup ◽  
Photon Counting Detectors

Modeling photon-counting detectors for x-ray CT: spectral response and pulse-pileup effects and evaluation using real data

2013 ◽  
Author(s):  
J. Cammin ◽  
J. Xu ◽  
William C. Barber ◽  
J. S. Iwanczyk ◽  
N. E. Hartsough ◽  
...  
Keyword(s):  
Spectral Response ◽  
Photon Counting ◽  
Real Data ◽  
X Ray ◽  
Pulse Pileup ◽  
Photon Counting Detectors

scholarly journals An analytical model of the effects of pulse pileup on the energy spectrum recorded by energy resolved photon counting x-ray detectors

2010 ◽  
Vol 37 (8) ◽  
pp. 3957-3969 ◽  
Author(s):  
Katsuyuki Taguchi ◽  
Eric C. Frey ◽  
Xiaolan Wang ◽  
Jan S. Iwanczyk ◽  
William C. Barber
Keyword(s):  
Energy Spectrum ◽  
Analytical Model ◽  
Photon Counting ◽  
X Ray ◽  
Pulse Pileup

An analytical model of the effects of pulse pileup on the energy spectrum recorded by energy resolved photon counting x-ray detectors

2010 ◽  
Author(s):  
Katsuyuki Taguchi ◽  
Eric C. Frey ◽  
Xiaolan Wang ◽  
Jan S. Iwanczyk ◽  
William C. Barber
Keyword(s):  
Energy Spectrum ◽  
Analytical Model ◽  
Photon Counting ◽  
X Ray ◽  
Pulse Pileup

Pulse pileup statistics for energy sensitive photon counting detectors with pulse height analysis

2012 ◽  
Author(s):  
Katsuyuki Taguchi ◽  
Somesh Srivastava ◽  
Qiulin Tang ◽  
Brian S. Caffo ◽  
Jan S. Iwanczyk ◽  
...  
Keyword(s):  
Photon Counting ◽  
Pulse Height ◽  
Pulse Pileup ◽  
Pulse Height Analysis ◽  
Photon Counting Detectors

scholarly journals Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Thomas Weidinger ◽  
Thorsten M. Buzug ◽  
Thomas Flohr ◽  
Steffen Kappler ◽  
Karl Stierstorfer
Keyword(s):  
Computed Tomography ◽  
Probability Function ◽  
Photon Counting ◽  
Charge Sharing ◽  
Material Decomposition ◽  
Beam Hardening ◽  
Pulse Pileup ◽  
Local Approximations ◽  
Photon Counting Detectors ◽  
Image Pixels

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.

Tantalum superconducting tunnel junctions for photon counting detectors

2002 ◽  
Vol 12 (3) ◽  
pp. 145-148
Author(s):  
C. Jorel ◽  
P. Feautrier ◽  
J.-C. Villégier ◽  
A. Benoit
Keyword(s):  
Tunnel Junctions ◽  
Photon Counting ◽  
Superconducting Tunnel Junctions ◽  
Photon Counting Detectors
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