What does "image noise" refer to in radiographic imaging?

"Image noise" in radiographic imaging refers to the random variations in brightness that can obscure relevant details in the image. This noise can arise from various sources, including electronic interference, fluctuations in the detector response, and limitations in the imaging system's ability to distinguish between true signals and background signals. When noise levels are high, it can significantly impact the diagnostic quality of images, making it difficult for radiologists to identify subtle abnormalities or features.

Reducing image noise is crucial for enhancing the clarity and accuracy of radiographic images, as lower noise levels improve the contrast and detail that can be perceived. Techniques such as increasing the exposure time, using higher-quality detectors, or applying noise reduction algorithms can help mitigate this issue, resulting in clearer images that support better diagnostic decisions.