Skip to main navigation Skip to search Skip to main content

Automatic calibration method of voxel size for cone-beam 3D-CT scanning system

  • Min Yang
  • , Xiao Long Wang
  • , Yi Peng Liu
  • , Fan Yong Meng
  • , Xing Dong Li
  • , Wen Li Liu
  • , Dong Bo Wei
  • Beihang University
  • Harbin Institute of Technology
  • CAS - Institute of Process Engineering
  • National Institute of Metrology China

Research output: Contribution to journalArticlepeer-review

Abstract

For a cone-beam three-dimensional computed tomography (3D-CT) scanning system, voxel size is an important indicator to guarantee the accuracy of data analysis and feature measurement based on 3D-CT images. Meanwhile, the voxel size changes with the movement of the rotary stage along X-ray direction. In order to realize the automatic calibration of the voxel size, a new and easily-implemented method is proposed. According to this method, several projections of a spherical phantom are captured at different imaging positions and the corresponding voxel size values are calculated by non-linear least-square fitting. Through these interpolation values, a linear equation is obtained that reflects the relationship between the voxel size and the rotary stage translation distance from its nominal zero position. Finally, the linear equation is imported into the calibration module of the 3D-CT scanning system. When the rotary stage is moving along X-ray direction, the accurate value of the voxel size is dynamically exported. The experimental results prove that this method meets the requirements of the actual CT scanning system, and has virtues of easy implementation and high accuracy.

Original languageEnglish
Article number046202
JournalChinese Physics C
Volume38
Issue number4
DOIs
StatePublished - Apr 2014

Keywords

  • automatic calibration
  • cone-beam CT
  • least square fitting
  • voxel size

Fingerprint

Dive into the research topics of 'Automatic calibration method of voxel size for cone-beam 3D-CT scanning system'. Together they form a unique fingerprint.

Cite this