What is the effect of a high signal-to-noise ratio on image quality?

A high signal-to-noise ratio (SNR) significantly enhances image quality. The signal in imaging refers to the useful information that captures the desired details in the image, such as anatomical structures. When the SNR is high, this indicates that the signal is much stronger than the noise, which consists of unwanted random variations that can obscure or distort the true representation of the image.

With a high SNR, the image displays clearer, more distinct features and details. This clarity allows for better visualization and interpretation, making it easier for radiologists and medical professionals to make accurate assessments. The presence of minimal noise means that the details in the image—such as edges, textures, and shapes—are preserved with greater precision.

In contrast, lower SNR values typically lead to images that are grainy or unclear, resulting in a diminished ability to discern critical anatomical details. Thus, a high signal-to-noise ratio is directly correlated with improved image quality, making the chosen answer valid and reflective of the fundamentals of imaging physics.