Optimal k-space sampling for single point imaging of transient systems.

Abstract A novel approach for sampling k -space in a pure phase encoding imaging sequence is presented using the Single Point Imaging (SPI) technique. The sequence is optimised with respect to the achievable Signal-to-Noise ratio ( SNR ) for a given time interval via selective sparse k -space sampling, dictated by prior knowledge of the overall object of interest’s shape. This allows dynamic processes featuring short T 2 ∗ NMR signal to be more readily followed, in our case the absorption of moisture by a cereal-based wafer material. Further improvements in image quality are also shown via the use of complete sampling of k -space at the start or end of the series of imaging experiments; followed by subsequent use of this data for un-sampled k -space points as opposed to zero filling.