Magnetic resonance spectroscopic imaging (MRSI) has multiple interests in clinical practice but it faces quite long acquisition time in practice which limits its use in a clinical environment. In this work, a new fast Magnetic Resonance Spectroscopic image acquisition method, inspired by Compressed Sensing using the a priori known sparse support of the metabolites chemical shift, is introduced and evaluated based on a k-t space spiral sampling. In the proposed method, the spatial and temporal interleaves are both taken in consideration during the implementation, in order to reach an even faster acquisition. This method has been evaluated using real in vivo 31P data.
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