Segmentation of four-dimensional, X-ray computed tomography data

John W. Gibbs*, Peter W. Voorhees

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.

Original languageEnglish (US)
Pages (from-to)73-84
Number of pages12
JournalIntegrating Materials and Manufacturing Innovation
Volume3
Issue number1
DOIs
StatePublished - Dec 1 2014
Externally publishedYes

Funding

This work was funded by the DOE under grant DE-FG02-99ER45782/A012 and by a DOE NNSA Stewardship Science Graduate Fellowship (grant DE-FC52-08NA28752). The authors would like to thank Dr. Julie L. Fife for the use of her data in the development of these methods and Dr. E. Begum Gulsoy for guidance with registration methods.

Keywords

  • 4D data
  • Computed tomography
  • Registration
  • Segmentation

ASJC Scopus subject areas

  • General Materials Science
  • Industrial and Manufacturing Engineering

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