Author:
Bones P.J.,Alwesh N.,Connolly T.J.
Abstract
In magnetic resonance (MR) imaging, the resolution obtainable is related to the time available for data acquisition, yet this must be minimised to utilise an expensive MR scanner effectively (and to minimise the time a patient must remain immobile). In addition, a SNR penalty is incurred in acquiring images at higher resolution [1]. Therefore computational methods to superresolve MR images are keenly sought. The application of MR imaging for medical purposes clearly demands that any superresolution scheme does not introduce artefacts.