Abstract #1783

Smart Averaging: SNR Improvement by Retrospective Filtering

Rolf Pohmann¹ and Klaus Scheffler^1,2

¹Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ²Biomedical Magnetic Resonance, University Tübingen, Tübingen, Germany

Averaging is a frequently used way to increase the SNR of a measurement. Here we show that spending the additional time for increasing the spatial resolution and applying a retrospective k-space filter can yield a higher SNR gain than conventional averaging. For weighting in two phase encoding directions, this can increase the SNR by up to 25%. For 3D weighting, SNR gain can reach 57%, if the additional acquired k-space points are used to increase the readout duration, and 38% for equal duration for weighted and unweighted acquisition.

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