What best describes the principle of digital image processing in DXR?

The principle of digital image processing in DXR, particularly in the context of radiological imaging, is fundamentally about transforming raw image data into a high-quality display format. This process involves several critical steps, including the enhancement of image quality, the reduction of noise, and the application of algorithms that improve the clarity and diagnostic value of images.

Digital image processing allows for various adjustments and modifications to the raw data obtained from imaging systems, which might initially lack clarity or contain artifacts. By applying techniques such as filtering, contrast enhancement, and edge detection, the resulting images become clearer and more useful for diagnosis.

This transformation ensures that healthcare professionals have access to optimized images that represent the anatomical structures accurately, thereby facilitating better clinical decision-making. While the storage of images, the development of new technologies, and the measurement of body dimensions are important aspects of radiology, they do not encapsulate the core function of digital image processing as effectively as the transformation of raw image data.