Relationship between reconstruction quality and scan type for compressive sensing based on cone beam CT reconstruction

There is a direct evidence that the radiation doses associated with CT scans are associated with an increase in cancer risk. To reduce the radiation dose and simultaneously maintain the CT reconstruction quality, numerous algorithms have been proposed such as compressive sensing (CS) technique. CS theory asserts that one can recover certain signals and images from far fewer samples or measurements than traditional methods use. In this study, we mainly consider the relationship between the CT reconstruction quality and two undersampled scan types of CS technique, i.e., the sparse-view scan and limited-view scan. The results demonstrate that an appropriate selection of scan type of CS technique can effectively control the radiation dose.