Linear prediction (LP) methods have been widely used for highresolution spectral estimation from finite Fourier samples. Their application to image reconstruction, on the other hand, has been markedly less successful. In this article, we present an improved LP method for high-resolution image recons
Image reconstruction from Fourier domain data sampled along a zig-zag trajectory
✍ Scribed by Hong Yan; Michael Braun
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 314 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0740-3194
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✦ Synopsis
Abstract
When the conventional Fourier transform (FT) algorithm is applied to reconstruct a magnetic resonance (MR) image from data sampled along a zig‐zag trajectory in the Fourier space, the nonuniform sampling in the spatial frequency direction may give rise to artifacts. In this paper the nature of the artifacts is analyzed and an alternative reconstruction algorithm is developed to produce artifact‐free images. Methods for reducing noise level in the reconstructed image are discussed. Our approach is compared with another method based on the interlace sampling theorem. © 1991 Academic Press. Inc.
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