Optimized Filtered Back-Projection Tomographic Reconstruction Algorithm for the Step-Shift Scanning of a Sample

Ali Hosenovich Ozdiev, Bright Kwame Afornu, Dmitry Andreevich Sednev

Research output: Contribution to journalReview article

Abstract

The variety of modern X-ray sources opens possibilities to conduct measurements of a wide range of different specimens. The range includes objects with various properties such as the density, the amount and types of defects, and the size which can significantly change from sample to sample. Due to the development of portable high energy X-ray sources like betatrons, it is now possible to investigate objects of big sizes. Although, the fact that the dimensions of such objects can exceed the dimensions of X-ray setups requires to develop new types of scanning geometries and to adopt the algorithms of reconstruction and visualization. The scanning of an object along its longest dimension is one of the ways for investigating such objects. In this article, we present the step-shift scanning approach and the adaptation of filtered back-projection algorithm for this type of measurement. The developed algorithm allows to obtain the visualization of the whole volume of the object from the combination of all scanning steps or to visualize the separate parts of the object from the truncated dataset.

Original languageEnglish
Pages (from-to)179-187
Number of pages9
JournalResearch in Nondestructive Evaluation
Volume30
Issue number3
DOIs
Publication statusPublished - 4 May 2019

Fingerprint

projection
Scanning
scanning
shift
X rays
Visualization
Betatrons
betatrons
x rays
Defects
Geometry
defects
geometry
energy

Keywords

  • non-destructive testing
  • reconstruction algorithm
  • scanning approach
  • X-Ray tomography

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Optimized Filtered Back-Projection Tomographic Reconstruction Algorithm for the Step-Shift Scanning of a Sample. / Ozdiev, Ali Hosenovich; Afornu, Bright Kwame; Sednev, Dmitry Andreevich.

In: Research in Nondestructive Evaluation, Vol. 30, No. 3, 04.05.2019, p. 179-187.

Research output: Contribution to journalReview article

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