Final answer:
Convolution kernels, or image processing filters, are used to control the level of edge-enhancement in computed tomography (CT) images, essential for improving image clarity and contrast.
Step-by-step explanation:
The process of assigning a specific level of edge-enhancement to the CT image data is controlled by mathematical filters known as convolution kernels or image processing filters. These filters are essential in computed tomography (CT) to improve the quality of the images.
In the medical imaging technique of CT, a computer-enhanced cross-sectional X-ray image is obtained. The use of convolution kernels allows for the manipulation of the raw data to enhance certain structures while suppressing others, ultimately providing greater clarity and contrast in the final image. This is somewhat analogous to the techniques used in microscopy where contrast is enhanced using different wave characteristics of light.