Oversampling is the increase in data to avoid
aliasing and wrap around
artifacts.
Aliasing is the incorrectly mapping of tissue signal from outside the
FOV to a location inside the
FOV. This is caused by the fact, that the acquired
k-space frequency data is not sampled density enough.
Oversampling in
frequency direction, done by increasing the
sampling frequency, prevents this
aliasing artifact. The proper
frequency based on the
sampling theorem (Shannon
sampling theorem/Nyquist
sampling theorem) must be at least twice the
frequency of each
frequency component in the incoming signal. All
frequency components above this limit will be aliased to frequencies between zero and half of the
sampling frequency and combined with the proper signal information, which creates the
artifact.
Oversampling creates a larger
field of view, more data needs to be stored and processed, but this is for modern
MRI systems not a
real problem. Oversampling
in phase direction (
no phase wrap), to eliminate wrap around
artifacts, by increasing the number of
phase encoding steps, results in longer scan/processing times.