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Image reconstruction from Fourier domain data sampled along a zig-zag trajectory.

H Yan·M Braun
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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.

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AlgorithmsFourier AnalysisHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingJournal Article

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BibTeXRIS

H Yan, M Braun. 1991. Image reconstruction from Fourier domain data sampled along a zig-zag trajectory.. https://doi.org/10.1002/mrm.1910180214

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