title: Tracking metabolite dynamics in plants via indirect 13C chemical shift imaging with an interleaved variable density acquisition weighted sampling pattern.
abstract: OBJECTIVE
  Developing and evaluating an improved sampling pattern to track the dynamics of labeled substances in plants using indirect (13)C chemical shift imaging.
  
  
  METHODS
  An algorithm to split an acquisition weighted sampling pattern into several undersampled sub-images is presented. The sampling patterns are used in CSI moving phantom experiments as well as in in vivo POCE-CSI experiments on barley stem and grain. Reconstruction is performed traditionally or by compressed sensing.
  
  
  RESULTS
  The moving phantom experiments show that the sampling pattern can reduce motion artifacts at the cost of an increased overall noise. The in vivo experiments demonstrate the feasibility of extracting a time series from a single imaging experiment.
  
  
  CONCLUSIONS
  The sampling pattern is suitable for tracking the uptake of label substances into plant material. The use of compressed sensing allows an increased spatial and temporal resolution.
authors: Department of Experimental Physics 5 (Biophysics), University of Würzburg, Würzburg, Germany, fuchsj@physik.uni-wuerzburg.de.
authors: Johannes
authors: J
authors: Fuchs
authors: Gerd
authors: G
authors: Melkus
authors: Ljudmilla
authors: L
authors: Borisjuk
authors: Peter
authors: P
authors: Jakob
mesh_terms: D066241:Carbon-13 Magnetic Resonance Spectroscopy / Q000379:methods*; D001467:Hordeum / Q000033:anatomy & histology / Q000378:metabolism*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D057054:Molecular Imaging / Q000379:methods*; D010944:Plants / Q000378:metabolism*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013395:Sucrose / Q000493:pharmacokinetics*; D014018:Tissue Distribution
chemical_list: D013395:Sucrose