It has been shown that spatial gradients in the background phase of an image can cause artifacts/errors in MRI temperature measurement. In the present work, a reconstruction method called 'k-space energy spectrum analysis' (KESA), originally developed in the context of partial-Fourier imaging, is adapted and tested here for its ability to correct for this particular problem. Compared to the previously-published image-based method already available for this purpose, the present k-space based method proved considerably more robust in the presence of high levels of noise, as tested with phantom data.
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