NDLI: Performance of reconstruction and processing techniques for dense full-spectrum x-ray computed tomography

Content Provider	IEEE Xplore Digital Library
Author	Gonzales, B.J. Lalush, D.
Copyright Year	2010
Description	Author affiliation: Joint Department of Biomedical Engineering at the University of North Carolina and North Carolina State University (Gonzales, B.J.; Lalush, D.)
Abstract	We have recently developed a novel x-ray computed tomography (CT) system capable of dense spectral measurements along the energy axis using a photon-counting single-pixel detector. The reconstructions have high energy axis resolution but suffer from noise due to dividing the total x-ray counts into multiple energy bins. We have recently developed two methods to suppress the noise along the energy axis: a Penalized Weighted Least Squares Algorithm (PWLS) for iterative reconstruction along the energy axis and an Eigenvector Filtering Algorithm for noise suppression in the energy domain using a set of basis functions. The two methods are briefly presented. We present a detailed comparison of the two algorithms focusing on the noise-energy resolution relationship in both methods, comparing the signal-to-noise ratio (SNR) ratio for both methods. Results show that the SNR is distributed differently across the energy spectrum for the two methods. We investigate combining the two methods forming a hybrid PWLS-Eigenvector method. The hybrid method is shown to take advantage of both methods' SNR improvements. We conclude that both algorithms offer significant noise suppression while preserving key energy axis data.
Starting Page	2181
Ending Page	2187
File Size	1149524
Page Count	7
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Attenuation Noise Materials Image reconstruction Absorption Pixel X-ray imaging
Content Type	Text
Resource Type	Article

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