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Title: Material identification in x-ray microscopy and micro CT using multi-layer, multi-color scintillation detectors

Abstract

We demonstrate that a dual-layer, dual-color scintillator construct for microscopic CT, originally proposed to increase sensitivity in synchrotron imaging, can also be used to perform material quantification and classification when coupled with polychromatic illumination. We consider two different approaches to data handling: (1) a data-domain material decomposition whose estimation performance can be characterized by the Cramer-Rao lower bound formalism but which requires careful calibration and (2) an image-domain material classification approach that is more robust to calibration errors. The data-domain analysis indicates that useful levels of SNR (>5) could be achieved in one second or less at typical bending magnet fluxes for relatively large amounts of contrast (several mm path length, such as in a fluid flow experiment) and at typical undulator fluxes for small amount of contrast (tens of microns path length, such as an angiography experiment). The tools introduced could of course be used to study and optimize parameters for a wider range of potential applications. The image domain approach was analyzed in terms of its ability to distinguish different elemental stains by characterizing the angle between the lines traced out in a two-dimensional space of effective attenuation coefficient in the front and back layer images. As amore » result, this approach was implemented at a synchrotron and the results were consistent with simulation predictions.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1]
  1. Univ. of Chicago, Chicago, IL (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1245816
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physics in Medicine and Biology
Additional Journal Information:
Journal Volume: 60; Journal Issue: 20; Journal ID: ISSN 0031-9155
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 36 MATERIALS SCIENCE; multi-color; multi-layer scintillation; material identification; micro CT; x-ray microscopy

Citation Formats

Modgil, Dimple, Rigie, David S., Wang, Yuxin, Xiao, Xianghui, Vargas, Phillip A., and La Riviere, Patrick J. Material identification in x-ray microscopy and micro CT using multi-layer, multi-color scintillation detectors. United States: N. p., 2015. Web. doi:10.1088/0031-9155/60/20/8025.
Modgil, Dimple, Rigie, David S., Wang, Yuxin, Xiao, Xianghui, Vargas, Phillip A., & La Riviere, Patrick J. Material identification in x-ray microscopy and micro CT using multi-layer, multi-color scintillation detectors. United States. https://doi.org/10.1088/0031-9155/60/20/8025
Modgil, Dimple, Rigie, David S., Wang, Yuxin, Xiao, Xianghui, Vargas, Phillip A., and La Riviere, Patrick J. 2015. "Material identification in x-ray microscopy and micro CT using multi-layer, multi-color scintillation detectors". United States. https://doi.org/10.1088/0031-9155/60/20/8025. https://www.osti.gov/servlets/purl/1245816.
@article{osti_1245816,
title = {Material identification in x-ray microscopy and micro CT using multi-layer, multi-color scintillation detectors},
author = {Modgil, Dimple and Rigie, David S. and Wang, Yuxin and Xiao, Xianghui and Vargas, Phillip A. and La Riviere, Patrick J.},
abstractNote = {We demonstrate that a dual-layer, dual-color scintillator construct for microscopic CT, originally proposed to increase sensitivity in synchrotron imaging, can also be used to perform material quantification and classification when coupled with polychromatic illumination. We consider two different approaches to data handling: (1) a data-domain material decomposition whose estimation performance can be characterized by the Cramer-Rao lower bound formalism but which requires careful calibration and (2) an image-domain material classification approach that is more robust to calibration errors. The data-domain analysis indicates that useful levels of SNR (>5) could be achieved in one second or less at typical bending magnet fluxes for relatively large amounts of contrast (several mm path length, such as in a fluid flow experiment) and at typical undulator fluxes for small amount of contrast (tens of microns path length, such as an angiography experiment). The tools introduced could of course be used to study and optimize parameters for a wider range of potential applications. The image domain approach was analyzed in terms of its ability to distinguish different elemental stains by characterizing the angle between the lines traced out in a two-dimensional space of effective attenuation coefficient in the front and back layer images. As a result, this approach was implemented at a synchrotron and the results were consistent with simulation predictions.},
doi = {10.1088/0031-9155/60/20/8025},
url = {https://www.osti.gov/biblio/1245816}, journal = {Physics in Medicine and Biology},
issn = {0031-9155},
number = 20,
volume = 60,
place = {United States},
year = {Wed Sep 30 00:00:00 EDT 2015},
month = {Wed Sep 30 00:00:00 EDT 2015}
}

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