Motion Artifacts Compensation in FDK Based 3D Cone-beam Tomography Using Correlation of X-ray Projection
نویسندگان
چکیده
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 o 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.
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