Abstract #3841

SNR Requirements for Successful Application of Compressed Sensing Acceleration to Non-lipid suppressed 1H MRSI at Ultra-High Fields

Sahar Nassirpour^1,2, Paul Chang^1,2, Nikolai Avdievitch^1,3, and Anke Henning^1,3

¹Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, ²IMPRS for Cognitive and Systems Neuroscience, Eberhard-Karls University of Tuebingen, Tuebingen, Germany, ³Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

In this work we systematically investigate the requirements for successful application of compressed sensing for highly accelerating the acquisition of non-lipid suppressed ¹H FID MRSI data at ultra-high fields. It is shown that with a combination of parallel imaging and sparse reconstruction, and an RF coil with an even distribution of receive sensitivity, highly accelerated and high resolution metabolite maps can be acquired at 9.4T through compressed sensing.

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