What effect does a large matrix have on CT imaging quality?

A large matrix in CT imaging refers to the number of pixels that make up the image. When a larger matrix is used, each pixel is smaller and therefore can represent finer details within the scanned object. This leads to an increase in spatial resolution, which is the ability to distinguish between two closely spaced structures in the image. Greater spatial resolution improves the clarity and sharpness of the images produced, allowing for better visualization of anatomical details and potential pathologies.

The advantages of a large matrix also include enhanced contrast resolution in certain scenarios, as increased pixel count can help differentiate between tissues that may have subtle differences in density or composition. This is particularly beneficial when interpreting images, as it allows radiologists and clinicians to make more accurate assessments based on the finer distinctions visible in high-resolution scans.

Thus, the correct choice aligns with how larger matrix sizes contribute positively to the spatial resolution of CT images, improving overall image quality significantly.