Automatic Virtual Shimming for Robust Fat Suppression in Subtractionless First-Pass Peripheral Angiography

To apply Dixon methods for background suppression in first-pass peripheral angiography, the water-fat separation has to be highly reliable over large field of views. This is difficult to achieve in the lower legs, because large main magnetic field offsets and gradients occassionally arise from poor resonance frequency determination or shimming. An approach based on virtual shimming is proposed in the present work to automatically compensate for such offsets and gradients. It is shown to improve the robustness of the fat suppression in subtractionless first-pass peripheral angiography in demanding cases.

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