Sparse MRI¶
Lustig, M., Donoho, D., & Pauly, J. M. (2007). Sparse MRI: The application of compressed sensing for rapid MR imaging. Magnetic Resonance in Medicine.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Fourier Transform
- Because the relationship is exact and invertible, this reconstruction is lossless in principle; and because acquiring every k-space point takes scan time, modern accelerated MRI undersamples k-space and reconstructs using the transform's sparsity properties (compressed sensing)
This sourceEstablishes undersampled k-space acquisition with sparsity-based (compressed-sensing) reconstruction as the mechanism behind accelerated MRI; the sentence's earlier claim that this trade follows the conjugate-width bound has been removed, since that trade is a Nyquist/k-space-extent fact and this source's thesis is that compressed sensing beats it.
SupportedVerified against the source
- Because the relationship is exact and invertible, this reconstruction is lossless in principle; and because acquiring every k-space point takes scan time, modern accelerated MRI undersamples k-space and reconstructs using the transform's sparsity properties (compressed sensing)
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported. Each verdict is shown under its citation below, with what in the work backs the sentence.
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Registry ID ref:cb3c0490bf0d · see in the full table