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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