Which process involves selectively removing or isolating information from a data set?

The process of selectively removing or isolating information from a data set is accurately described by the concept of region of interest editing. In imaging techniques, particularly in computed tomography (CT), this process allows technicians to focus on specific areas that are clinically relevant while disregarding other parts of the image that may not be necessary for diagnosis or treatment planning. This capability enhances the clarity and usefulness of the imaging results by allowing providers to concentrate on the most pertinent aspects of the scan.

Region of interest editing is particularly valuable because it can improve the uniformity of data analysis and presentation, making it easier for healthcare providers to interpret the images accurately. In contrast, the other processes mentioned serve different purposes. For example, slice thickness adjustment pertains to the dimensional configuration of images, image fusion combines different imaging modalities for a holistic view, and noise filtering is aimed at enhancing image quality by removing unwanted signals or artifacts, rather than selectively isolating certain data.