title: 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.
authors.affiliation: Department of Chemical Engineering, University of Cambridge, New Museums Site Pembroke Street, Cambridge CB23RA, UK.
authors.forename: Prodromos
authors.initials: P
authors.lastname: Parasoglou
authors.forename: A J
authors.initials: AJ
authors.lastname: Sederman
authors.forename: J
authors.initials: J
authors.lastname: Rasburn
authors.forename: H
authors.initials: H
authors.lastname: Powell
authors.forename: M L
authors.initials: ML
authors.lastname: Johns
mesh_terms: D000465:Algorithms; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008422:Materials Testing / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted