Affiliations: Department of Electrical and Computer
Engineering, University of Alabama, Huntsville, AL, USA
Note: [] Corresponding author: Ujjal Kumar Bhowmik, Department of
Electrical and Computer Engineering, University of Alabama, Huntsville, AL
35899, USA. E-mail: ukb0001@uah.edu
Abstract: Head motion during Computer Tomographic (CT) studies can adversely
affects the reconstructed image through distortion and other artifacts such as
blurring and doubling, thereby contributing to misdiagnosis of diseases. In
this paper, we propose a method to detect and mitigate motion artifacts in
three-dimensional (3D) cone-beam CT system. Motion detection is achieved by
comparing the correlation coefficient between the adjacent x-ray projections.
Artifacts, caused by motion, are mitigated either by replacing motion corrupted
projections with their counterpart 180° apart
projections under certain conditions, or by estimating motion corrupted
projections using Least Square Support Vector Machine (LS-SVM) based time
series prediction. The method has been evaluated on 3D Shepp-Logan phantom. In
this research, Feldkamp-David-Kress (FDK) based back-projection algorithm is
used for 3D reconstruction process. Computer simulation validates the motion
detection and artifacts elimination mechanism.
