SRS-FT, a Fourier Imaging Method Based on Sparse Radial Scanning and Bayesian Estimation
✍ Scribed by D. Graveron-Demilly; G.J. Marseille; Y. Crémillieux; S. Cavassila; D. van Ormond
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 391 KB
- Volume
- 112
- Category
- Article
- ISSN
- 1064-1866
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✦ Synopsis
A new 3D Fourier imaging method based on sparse radial scan-ENCODING PROCEDURE ning (SRS-FT) of k space is proposed. It allows acquisition of FIDs and is therefore well suited to imaging objects with very
The SRS-FT method uses the relation between the Fourier short T 2 . Use of a Bayesian procedure allows (1) an important coefficient of the spin-density function and the correspondreduction of scan time to below that of the projection-reconstrucing Fourier coefficient of the projection (12, 13), tion (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 where images.