What is meant by "image processing" in radiology?

Image processing in radiology refers specifically to the manipulation of radiographic images to enhance clarity, detail, and diagnostic value. This process plays a vital role in improving the visualization of anatomical structures and abnormalities. Techniques involved in image processing may include adjusting brightness and contrast, applying filters to remove noise, and enhancing edges to make features more discernible.

By employing these techniques, radiologists can obtain clearer and more informative images, facilitating better interpretation and diagnosis. Enhanced images are crucial for identifying subtle lesions or other conditions that might be missed in unprocessed images.

The other choices do not accurately encapsulate the concept of image processing. Analyzing patient data pertains more to diagnostic decisions or pre- and post-image analysis, capturing images involves the technology and techniques used to create the images initially, and storing imaging data is related to archiving and data management rather than the manipulation of the images themselves. Thus, option B precisely defines the essence of image processing within the context of radiology.