title: Conjugate phase MRI reconstruction with spatially variant sample density correction.
abstract: A new image reconstruction method to correct for the effects of magnetic field inhomogeneity in non-Cartesian sampled magnetic resonance imaging (MRI) is proposed. The conjugate phase reconstruction method, which corrects for phase accumulation due to applied gradients and magnetic field inhomogeneity, has been commonly used for this case. This can lead to incomplete correction, in part, due to the presence of gradients in the field inhomogeneity function. Based on local distortions to the k-space trajectory from these gradients, a spatially variant sample density compensation function is introduced as part of the conjugate phase reconstruction. This method was applied to both simulated and experimental spiral imaging data and shown to produce more accurate image reconstructions. Two approaches for fast implementation that allow the use of fast Fourier transforms are also described. The proposed method is shown to produce fast and accurate image reconstructions for spiral sampled MRI.
authors.affiliation: Department of Biomedical Engineering, University of Michigan, 1107 Carl A. Gerstacker, 2200 Bonisteel Blvd, Ann Arbor, MI 48109-2099, USA dnoll@umich.edu
authors.forename: Douglas C
authors.initials: DC
authors.lastname: Noll
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Fessler
authors.forename: Bradley P
authors.initials: BP
authors.lastname: Sutton
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D016477:Artifacts; D001185:Artificial Intelligence; D001921:Brain / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity