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Reconstructing MR images from undersampled data: Data-weighting considerations

✍ Scribed by James G. Pipe

Publisher: John Wiley and Sons
Year: 2000
Tongue: English
Weight: 315 KB
Volume: 43
Category: Article
ISSN: 0740-3194
DOI: 10.1002/1522-2594(200006)43:6<867::aid-mrm13>3.0.co;2-2

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✦ Synopsis

Data which are sampled more densely than the Nyquist limit in k-space are weighted prior to reconstruction by the inverse of the local sampling density. This work considers the effects of weighting data that are sampled less densely than the Nyquist limit. It specifically analyzes azimuthally undersampled projection reconstruction, variable density spirals, and variable density phase encoding. Effects on resolution, aliasing, and SNR are given. Higher resolution is obtained by weighting undersampled data according to the inverse of sampling density, while better SNR and less aliasing artifact are obtained by weighting undersampled data uniformly. Magn Reson Med 43:867-875, 2000.

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