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SRS-FT, a Fourier imaging method based on sparse radial scanning and Bayesian estimation
D Graveron-Demilly1, G J Marseille, Y Crémillieux
1Laboratoire de RMN, Université LYON I-CPE, Villeurbanne, 69622, France.
Journal of Magnetic Resonance. Series B
|August 1, 1996
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.