Which of the following is a method to correct motion artifacts in CT imaging?

Interpolation techniques are essential for correcting motion artifacts in CT imaging because they allow for the estimation of the missing or distorted data due to patient movement. When a patient moves during the scan, the resulting images can suffer from blurring or streaking artifacts, making it difficult to interpret the scan accurately.

Using interpolation techniques, the system can compensate for the lost data by estimating what should have been present in those areas based on the surrounding pixel values. This method essentially fills in gaps or corrects the data to produce a clearer and more accurate representation of the anatomy being imaged. It helps maintain the integrity of the diagnostic information and enhances the overall quality of the CT images.

Other methods, such as filtration, reconstruction algorithms, and post-processing adjustments, do play vital roles in image quality and analysis, but they do not specifically target motion artifacts in the same way that interpolation techniques do. Filtration is generally used to reduce noise or enhance contrast, while reconstruction algorithms focus on creating the final images from raw data. Post-processing adjustments may improve the appearance of images but are usually applied after the data has been collected, without directly addressing the issues caused by motion during acquisition.