A common clinical application of iterative reconstruction is to:

Iterative reconstruction techniques are primarily utilized in computed tomography to minimize the amount of radiation exposure to patients while still producing high-quality images. This method involves repeatedly refining the image by comparing it to the acquired data and improving upon the reconstruction with each iteration.

By optimizing the algorithms used for image reconstruction, iterative techniques can effectively reduce noise in the images, allowing for clearer visuals at lower radiation doses. This reduction in radiation exposure is particularly important in clinical settings, where patient safety is a top priority. While other options may contribute to image improvements in different contexts, the main advantage of iterative reconstruction specifically focuses on radiation dose reduction, making it a key application in modern CT imaging practices.