Mitigating motion artifacts in FDK based 3D Cone-beam Brain Imaging System using markers

Ujjal Kumar Bhowmik, M. Zafar Iqbal, Reza R. Adhami

Research output: Contribution to journalArticlepeer-review


Head motion during Computed Tomographic (CT) brain imaging studies can adversely affect the reconstructed image through distortion, loss of resolution and other related artifacts. In this paper, we propose a marker based innovative approach to detect and mitigate motion artifacts in three dimensional cone-beam brain CT systems without using any external motion tracking sensor. Motion is detected using correlations between the adjacent projections. Once motion is detected, motion parameters (i.e. six degrees-of-freedom of motions) are estimated using a numerical optimization technique. Artifacts, caused by motions, are mitigated by using a modified form Feldkemp-Davis-Kress (FDK) algorithm which uses the estimated motion parameters in back-projection stage. The proposed approach has been evaluated on a modified three-dimensional Shepp-Logan phantom with a range of simulated motions. Simulation results demonstrate a quantitative and qualitative validation of motion detection and artifacts mitigation technique.

Original languageEnglish (US)
Pages (from-to)369-382
Number of pages14
JournalCentral European Journal of Engineering
Issue number3
StatePublished - Sep 2012
Externally publishedYes


  • Cone-beam ct
  • Fdk algorithm
  • Motion artifacts
  • Motion detection
  • Three-dimensional ct

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • General Materials Science
  • Aerospace Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering


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