Abstract #1848

Autofocusing-based correction of B0 fluctuation-induced ghosting

Alexander Loktyushin^1,2, Philipp Ehses¹, Bernhard Schölkopf², and Klaus Scheffler^1,3

¹High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ²Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany, ³Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany

Long-TE gradient-echo images are prone to ghosting artifacts. Such degradation is primarily due to magnetic field variations caused by breathing or motion. The effect of these fluctuations amounts to different phase offsets in each acquired k-space line. A common remedy is to measure the problematic phase offsets using an extra non-phase-encoded scan before or after each imaging readout. In this work, we attempt to estimate the phase offsets directly from the raw image data by optimization-based search of phases that minimize an image distortion measure. This eliminates the need for any sequence modifications and additional scan time.

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