What two types of reconstruction algorithms should be used to view bony injuries to the thorax? (Select two)

To effectively view bony injuries in the thorax, it is crucial to utilize algorithms that enhance the visibility of bone structures. A bone algorithm is designed specifically to optimize the contrast and detail of osseous tissues, making it the preferred choice for identifying fractures, lesions, or other bony injuries.

In the context of CT imaging, bone algorithms utilize higher reconstruction kernel settings that improve edge definition and suppress the appearance of soft tissues. This allows radiologists to have a clear view of bony anatomy, facilitating accurate diagnoses of any injuries present.

Integrating this approach with edge-enhancing algorithms further boosts the assessment of bony structures by improving the contrast at the boundaries of bones, making it easier to identify even subtle fractures. These algorithms focus on accentuating high-frequency details, which are crucial for evaluating the intricate anatomy of the thorax.

By choosing these specific reconstruction algorithms, one ensures that the images produced provide the greatest clarity and diagnostic utility for detecting bony injuries in the thorax.