Compared to a soft tissue algorithm, a bone algorithm will have more: (Select two)

A bone algorithm is designed specifically to enhance the visualization of hard tissues, such as bones, in CT imaging. This is achieved by optimizing parameters that highlight the dense structures while minimizing the blurring of edges.

When it comes to sharpness, a bone algorithm emphasizes the delineation of bony structures, leading to enhanced detail at the edges of bones. This is particularly important for diagnosing fractures or other bony abnormalities, which require clear boundaries to be accurately assessed. The increased sharpness allows radiologists to more easily differentiate between bone and surrounding soft tissue.

In contrast, other algorithms used for soft tissue may prioritize a different balance of factors like noise and brightness, which could result in softer edges and a more blended appearance between structures. This difference in emphasis illustrates why a bone algorithm is effective for specific imaging contexts involving skeletal anatomy.

Thus, the correct choice of increased sharpness in a bone algorithm reflects the inherent design and purpose of such algorithms in CT imaging.