Motion artifacts compensation in FDK based 3D cone-beam tomography using correlation of X-ray projection

Ujjal Kumar Bhowmik, Reza R. Adhami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Head motion during brain CT studies can adversely affect the reconstructed image through distortion and other artifacts such as blurring and doubling, thereby losing substantial information. In this paper, we propose a method to detect and eliminate motion artifacts in Feldkamp-David-Kress (FDK) based three-dimensional (3D) cone-beam tomography. Motion detection is achieved by comparing the correlation coefficient between the adjacent x-ray projections and elimination is done by replacing the motion corrupted projections with their corresponding 180° apart counterpart projections acquired during cone-beam circular scan. The method has been evaluated on 3D Sheep-Logan phantom. Computer simulation validates the motion detection and elimination mechanism.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Pages407-413
Number of pages7
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States
Duration: Jul 18 2011Jul 21 2011

Publication series

NameProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Volume1

Conference

Conference2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/18/117/21/11

Keywords

  • Computed tomography
  • FDK algorithm
  • Motion artifacts
  • Motion compensation
  • Motion detection
  • Volume CT

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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