title: Quantitative single point imaging with compressed sensing.
abstract: A novel approach with respect to single point imaging (SPI), compressed sensing, is presented here that is shown to significantly reduce the loss of accuracy of reconstructed images from under-sampled acquisition data. SPI complements compressed sensing extremely well as it allows unconstrained selection of sampling trajectories. Dynamic processes featuring short T2* NMR signal can thus be more rapidly imaged, in our case the absorption of moisture by a cereal-based wafer material, with minimal loss of image quantification. The absolute moisture content distribution is recovered via a series of images acquired with variable phase encoding times allowing extrapolation to time zero for each image pixel and the effective removal of T2* contrast.
authors.affiliation: Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB2 3RA, UK.
authors.forename: P
authors.initials: P
authors.lastname: Parasoglou
authors.forename: D
authors.initials: D
authors.lastname: Malioutov
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: L F
authors.initials: LF
authors.lastname: Gladden
authors.forename: A
authors.initials: A
authors.lastname: Blake
authors.forename: M L
authors.initials: ML
authors.lastname: Johns
mesh_terms: D000042:Absorption; D000465:Algorithms; D002523:Edible Grain / Q000737:chemistry; D004574:Electromagnetic Fields; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D014867:Water / Q000032:analysis
chemical_list: D014867:Water