What is a characteristic feature of 2D k-space filling?

Filling k-space in a 2D MRI setting typically involves acquiring data methodically to ensure that it is populated accurately for the reconstruction of images. One of the characteristic features of 2D k-space filling is that it involves data being filled for one line at a time across all slices. This means that in a single imaging session, as each line of k-space is filled for one slice, the corresponding data for that line across all slices is also collected in succession. This approach allows for a more efficient acquisition process and is beneficial for maintaining coherence between the slices, thus improving image quality.

The technique allows clinicians or researchers to obtain complete spatial information with relatively shorter scan times when multiple slices are involved, as the process taps into the capability of modern MRI systems to perform such operations concurrently. This method of filling k-space is integral to how images are reconstructed from the data collected, resulting in improved image quality and spatial resolution.