title: SRS-FT, a Fourier imaging method based on sparse radial scanning and Bayesian estimation.
abstract: A new 3D Fourier imaging method based on sparse radial scanning (SRS-FT) of k space is proposed. It allows acquisition of FIDs and is therefore well suited to imaging objects with very short T2. Use of a Bayesian procedure allows (1) an important reduction of scan time to below that of the projection-reconstruction (PR) method by reducing the number of "Cartesian radial" encoding directions, and (2) a good image quality by estimating missing and corrupted Cartesian samples. SRS-FT images reconstructed from FIDs are compared to conventional FT and PR images.
authors.affiliation: Laboratoire de RMN, Université LYON I-CPE, Villeurbanne, 69622, France.
authors.forename: D
authors.initials: D
authors.lastname: Graveron-Demilly
authors.forename: G J
authors.initials: GJ
authors.lastname: Marseille
authors.forename: Y
authors.initials: Y
authors.lastname: Crémillieux
authors.forename: S
authors.initials: S
authors.lastname: Cavassila
authors.forename: D
authors.initials: D
authors.lastname: van Ormond
mesh_terms: D001499:Bayes Theorem; D005583:Fourier Analysis; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging