A Motion Compensation Approach for Oral and Maxillofacial Cone-beam Imaging

Abstract: Purpose: Patient movement affects image quality in oral and maxillofacial cone-beam CT imaging. While many efforts are made to minimize the possibility of motion during a scan, relatively little attention has been given to motion compensation after the acquisition. Methods: In a previous study, we proposed a retrospective motion compensation approach for helical head CT imaging, which iteratively estimates and compensates for rigid head motion. This study reports on an extension of the previous method to cone-beam CT imaging. To address the issue of the limited field-of-view, improvements were made to the original method. The proposed motion estimation/ motion compensation (ME/MC) method was evaluated with simulations, phantom and patient studies. Two experts in dentomaxillofacial radiology assessed the diagnostic importance of the achieved motion artifact suppression. Results: The quality of the reconstructed images was improved after motion compensation, and most of the image artifacts were eliminated. Quantitative analysis by comparison to a reference image (simulation and phantom) and by calculation of a sharpness metric agreed with the qualitative observation. Conclusions: The proposed method has the potential to be clinically applied.