Computed Tomography Technologist Practice Exam 2026 – All-in-One Guide for Exam Success!

Filtering is an essential step in computed tomography that occurs before back projection. It involves the application of algorithms to the raw data collected from the CT scans to enhance the quality of the images and reduce artifacts. This process can involve techniques such as convolution filtering or other advanced methods to improve image clarity and contrast. By filtering the data beforehand, it ensures that the back projection process uses cleaner, more accurate data, which significantly enhances the final reconstruction of the image.

The other options focus on different aspects of the CT process. While calibration is important for ensuring the accuracy of the machine, it typically occurs during routine maintenance rather than directly before back projection. Compiling patient history and implementing radiation safety measures are critical components of the overall procedure but do not directly influence the data processing stages that lead to image reconstruction. Thus, filtering is a key preparatory step for achieving high-quality images in computed tomography.