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Title: Tomosaic : efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams

Abstract

X-rays offer high penetration with the potential for tomography of centimetre-sized specimens, but synchrotron beamlines often provide illumination that is only millimetres wide. Here an approach is demonstrated termed Tomosaic for tomographic imaging of large samples that extend beyond the illumination field of view of an X-ray imaging system. This includes software modules for image stitching and calibration, while making use of existing modules available in other packages for alignment and reconstruction. The approach is compatible with conventional beamline hardware, while providing a dose-efficient method of data acquisition. By using parallelization on a distributed computing system, it provides a solution for handling teravoxel-sized or larger datasets that cannot be processed on a single workstation in a reasonable time. Using experimental data, the package is shown to provide good quality three-dimensional reconstruction for centimetre-sized samples with sub-micrometre pixel size.

Authors:
; ; ; ; ; ORCiD logo
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE; National Institutes of Health (NIH)
OSTI Identifier:
1465616
Alternate Identifier(s):
OSTI ID: 1467649
Grant/Contract Number:  
[AC02-06CH11357]
Resource Type:
Published Article
Journal Name:
Journal of Synchrotron Radiation (Online)
Additional Journal Information:
[Journal Name: Journal of Synchrotron Radiation (Online) Journal Volume: 25 Journal Issue: 5]; Journal ID: ISSN 1600-5775
Publisher:
International Union of Crystallography (IUCr)
Country of Publication:
Denmark
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; X-ray tomography; image alignment; image reconstruction; parallelized computing

Citation Formats

Vescovi, Rafael, Du, Ming, de Andrade, Vincent, Scullin, William, Gürsoy, Dogˇa, and Jacobsen, Chris. Tomosaic : efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams. Denmark: N. p., 2018. Web. doi:10.1107/S1600577518010093.
Vescovi, Rafael, Du, Ming, de Andrade, Vincent, Scullin, William, Gürsoy, Dogˇa, & Jacobsen, Chris. Tomosaic : efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams. Denmark. doi:10.1107/S1600577518010093.
Vescovi, Rafael, Du, Ming, de Andrade, Vincent, Scullin, William, Gürsoy, Dogˇa, and Jacobsen, Chris. Tue . "Tomosaic : efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams". Denmark. doi:10.1107/S1600577518010093.
@article{osti_1465616,
title = {Tomosaic : efficient acquisition and reconstruction of teravoxel tomography data using limited-size synchrotron X-ray beams},
author = {Vescovi, Rafael and Du, Ming and de Andrade, Vincent and Scullin, William and Gürsoy, Dogˇa and Jacobsen, Chris},
abstractNote = {X-rays offer high penetration with the potential for tomography of centimetre-sized specimens, but synchrotron beamlines often provide illumination that is only millimetres wide. Here an approach is demonstrated termed Tomosaic for tomographic imaging of large samples that extend beyond the illumination field of view of an X-ray imaging system. This includes software modules for image stitching and calibration, while making use of existing modules available in other packages for alignment and reconstruction. The approach is compatible with conventional beamline hardware, while providing a dose-efficient method of data acquisition. By using parallelization on a distributed computing system, it provides a solution for handling teravoxel-sized or larger datasets that cannot be processed on a single workstation in a reasonable time. Using experimental data, the package is shown to provide good quality three-dimensional reconstruction for centimetre-sized samples with sub-micrometre pixel size.},
doi = {10.1107/S1600577518010093},
journal = {Journal of Synchrotron Radiation (Online)},
number = [5],
volume = [25],
place = {Denmark},
year = {2018},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1107/S1600577518010093

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Cited by: 2 works
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