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J Magn Reson. 2008 Sep;194(1):99-107. doi: 10.1016/j.jmr.2008.06.005. Epub 2008 Jun 20.

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

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  • 1Department of Chemical Engineering, University of Cambridge, New Museums Site Pembroke Street, Cambridge CB23RA, UK.

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.

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