Collecting the low frequency (high amplitude signal) data points in k-space at the start of the scan is known as?

The collection of low frequency (high amplitude signal) data points in k-space at the start of the scan is referred to as "centric" sampling. The primary reason for implementing centric acquisition strategies is to capture the regions of k-space that contribute the most to image contrast at the beginning of the scan. This is particularly important because low-frequency data contains essential information regarding the overall image structure, while high-frequency data carries details about fine structures and edges.

In a centric sampling scheme, data is acquired from the center of k-space (representing low frequencies) first, which is beneficial for rapid imaging techniques and can reduce the effects of motion artifacts since high contrast images can be generated quickly. This sampling strategy improves the diagnostic quality of the images.

The other choices mentioned do not accurately represent this specific method of data acquisition within the context of k-space sampling. Centric strategies in MRI are vital for ensuring that the most significant information is prioritized during the imaging process.