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

Rafael Vescovi, Ming Du, Vincent de Andrade, William Scullin, Dogˇa Gürsoy, Chris Jacobsen*

*Corresponding author for this work

Research output: Contribution to journalArticle

7 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1478-1489
Number of pages12
JournalJournal of Synchrotron Radiation
Volume25
Issue number5
DOIs
StatePublished - Sep 2018

Keywords

  • X-ray tomography
  • image alignment
  • image reconstruction
  • parallelized computing

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Instrumentation

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