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Abstract #3266

Incorporation of Prior Knowledge of Main Field Inhomogeneity in Dixon Methods

Holger Eggers1, Liesbeth Geerts-Ossevoort2, Gert Mulder2, and Clemens Bos3

1Philips Research, Hamburg, Germany, 2Philips Healthcare, Best, Netherlands, 3Imaging Division, University Medical Center Utrecht, Utrecht, Netherlands

The robustness of Dixon methods often deteriorates close to large main field inhomogeneity. To resolve this problem, the exploitation of prior knowledge of magnet imperfections is considered in this work. Magnet-induced main field inhomogeneity is modeled to predict and correct spatial variations of the phase in single-echo images before the separation of water and fat signal. Improved fat suppression is demonstrated with this approach in first-pass peripheral angiography, in particular in the corners of the large FOVs.

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