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Title: Hyperspectral image reconstruction for x-ray fluorescence tomography

Journal Article · · Optics Express
DOI:https://doi.org/10.1364/OE.23.009014· OSTI ID:1200860
 [1];  [2];  [3];  [3];  [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source
  2. Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Div.
  3. Univ. of Chicago, Chicago, IL (United States). Center for Advanced Radiation Sources

A penalized maximum-likelihood estimation is proposed to perform hyperspectral (spatio-spectral) image reconstruction for X-ray fluorescence tomography. The approach minimizes a Poisson-based negative log-likelihood of the observed photon counts, and uses a penalty term that has the effect of encouraging local continuity of model parameter estimates in both spatial and spectral dimensions simultaneously. The performance of the reconstruction method is demonstrated with experimental data acquired from a seed of arabidopsis thaliana collected at the 13-ID-E microprobe beamline at the Advanced Photon Source. The resulting element distribution estimates with the proposed approach show significantly better reconstruction quality than the conventional analytical inversion approaches, and allows for a high data compression factor which can reduce data acquisition times remarkably. In particular, this technique provides the capability to tomographically reconstruct full energy dispersive spectra without compromising reconstruction artifacts that impact the interpretation of results.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-06CH11357; FG02-94ER14466; EAR1128799
OSTI ID:
1200860
Journal Information:
Optics Express, Vol. 23, Issue 7; ISSN 1094-4087
Publisher:
Optical Society of America (OSA)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 27 works
Citation information provided by
Web of Science

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Cited By (5)

2016 Atomic Spectrometry Update – a review of advances in X-ray fluorescence spectrometry and its applications journal January 2016
Automatic processing of multimodal tomography datasets journal January 2017
Trace: a high-throughput tomographic reconstruction engine for large-scale datasets journal January 2017
Joint reconstruction of x-ray fluorescence and transmission tomography journal January 2017
Optimization-based simultaneous alignment and reconstruction in multi-element tomography journal January 2019