Quantitative Voxel-to-Voxel Comparison of TriBeam and DCT Strontium Titanate Three-Dimensional Data Sets (Postprint)

Abstract

Recently, techniques for the acquisition of three-dimensional tomographic and four-dimensional time-resolved data sets have emerged, allowing for the analysis of mm3 volumes of material with nm-scale resolution. The ability to merge multi-modal data sets acquired via multiple techniques for the quantitative analysis of structure, chemistry and phase information is still a significant challenge. Large three-dimensional data sets have been acquired by time-resolved diffraction contrast tomography (DCT) and a new TriBeam tomography technique with high spatial resolution to address grain growth in strontium titanate. A methodology for combining three-dimensional tomographic data has been developed. Algorithms for the alignment of orientation reference frames, unification of sampling grids and automated grain matching have been integrated, and the resulting merged data set permits the simultaneous analysis of all tomographic data on a voxel-by-voxel and grain-by-grain basis.

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Document Details

Document Type
Technical Report
Publication Date
Feb 09, 2015
Accession Number
AD1025142

Entities

People

  • Andreas Trenkle
  • McLean P. Echlin
  • Melanie Syha
  • Peter Gumbsch
  • Tresa M. Pollock
  • William C. Lenthe

Organizations

  • University of California, Santa Barbara

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Chemistry
  • Contrast
  • Data Sets
  • Detectors
  • Diffraction
  • Femtosecond Lasers
  • Grain Growth
  • Materials
  • Materials Science
  • Orientation (Direction)
  • Sampling
  • Three Dimensional
  • X Rays

Fields of Study

  • Physics

Readers

  • Approximation Theory.
  • Computer Vision.
  • Medical Imaging.