In MRI, what is the main impact of using a smaller matrix size on spatial resolution?

Using a smaller matrix size in MRI results in lower spatial resolution. Spatial resolution refers to the ability to distinguish between two separate structures in an image; a smaller matrix size means that the number of pixels used to create the image is reduced. Consequently, each pixel has to cover a larger area, which can result in a less detailed image.

In MRI, the matrix size is defined as the number of pixels in each dimension of the image (width x height). When this matrix size is smaller, the resulting images will display less detail and may not accurately represent smaller anatomical structures. This phenomenon directly impacts the sharpness and clarity of the images produced, making it more challenging to identify and differentiate between small lesions or structures.

When evaluating the options presented, recognizing that a smaller matrix leads to decreased spatial resolution highlights its fundamental influence on image quality in MRI.