Paper Info
Title
Energy Window Optimization for X-ray K-edge Tomographic Imaging.
Abstract
In K-edge tomographic imaging with photon counting detectors, the energy window width of photon counting detectors significantly affects the signal-to-noise ratio (SNR) of measured intensity data and the contrast-to-noise ratio (CNR) of reconstructed images. In this paper, we present an optimization method to determine an optimal window width around a K-edge for optimal SNR and CNR.An objective function is designed to describe SNR of the projection data based on the Poisson distribution of detected X-ray photons. Then, a univariate optimization method is applied to obtain an X-ray energy window width.Numerical simulations are performed to evaluate the proposed method, and the results show that the optimal energy window width obtained from the proposed method produces not only optimal SNR data in the projection domain but also optimal CNR values in the image domain.The proposed method in the projection domain can determine an optimal energy window width for x-ray photon counting imaging, and achieve optimality in both projection and image domains.Our study provides a practical way to determine the optimal energy window width of photon counting detectors, which helps improve contrast resolution for x-ray K-edge tomographic imaging.
Year
DOI
Venue
2016
10.1109/TBME.2015.2413816
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
k-edge imaging,photon-counting detector,x-ray ct,cnr,optimal energy window width,snr
Iterative reconstruction,K-edge,Photon counting,Photon,Tomographic reconstruction,Contrast resolution,Signal-to-noise ratio,Optics,Detector,Physics
Journal
Volume
Issue
ISSN
PP
99
1558-2531
Citations 
PageRank 
References 
2
0.42
2
Authors
5
Name
Order
Citations
PageRank
Bo Meng120.42
Wenxiang Cong27114.65
Yan Xi3133.02
Bruno De Man4638.41
Ge Wang51000142.51