An image reconstruction method for improving CT spatial resolution

  • Jian Fu*
  • , Ren Bo Tan
  • , Feng Zhao
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In order to improve the spatial resolution of industrial computed tomography (CT) without changing the hardware, the half-pixel offset scanning mode was analyzed and a direct reconstruction algorithm, which was based on the algebraic iteration technique, was proposed. This algorithm adopted area-weight to execute directly the iterative update of the reconstructed value using the acquired projection data. Computer simulation analysis with a star-type spatial resolution phantom was implemented and a modulation of 0.8 was reached at the cut-off frequency. It demonstrates that the proposed method has the potential of improving the spatial resolution. The industrial CT experimental results of a standard spatial resolution phantom validate the feasibility and the effect of the method. The proposed approach is easy to implement and has a promising application future.

Original languageEnglish
Pages (from-to)971-976
Number of pages6
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume28
Issue number5
StatePublished - May 2013

Keywords

  • Algebraic iteration reconstruction
  • Half-pixel offset scanning
  • Industrial computed tomography
  • Reconstruction algorithm
  • Spatial resolution

Fingerprint

Dive into the research topics of 'An image reconstruction method for improving CT spatial resolution'. Together they form a unique fingerprint.

Cite this