ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2013
Accelerating multidimensional NMR and MRI experiments using iterated maps.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Non-uniform sampling of similar NMR spectra and its application to studies of the interaction between alpha-synuclein and liposomes.Journal of biomolecular NMR · 2023Article
- Accelerating 2D NMR relaxation dispersion experiments using iterated maps.Journal of biomolecular NMR · 2019Article
- Reaching the sparse-sampling limit for reconstructing a single peak in a 2D NMR spectrum using iterated maps.Journal of biomolecular NMR · 2019Article
- Fast multi-dimensional NMR acquisition and processing using the sparse FFT.Journal of biomolecular NMR · 2015Article
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7 authors.
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Abstract
Techniques that accelerate data acquisition without sacrificing the advantages of fast Fourier transform (FFT) reconstruction could benefit a wide variety of magnetic resonance experiments. Here we discuss an approach for reconstructing multidimensional nuclear magnetic resonance (NMR) spectra and MR images from sparsely-sampled time domain data, by way of iterated maps. This method exploits the computational speed of the FFT algorithm and is done in a deterministic way, by reformulating any a priori knowledge or constraints into projections, and then iterating. In this paper we explain the motivation behind this approach, the formulation of the specific projections, the benefits of using a 'QUasi-Even Sampling, plus jiTter' (QUEST) sampling schedule, and various methods for handling noise. Applying the iterated maps method to real 2D NMR and 3D MRI of solids data, we show that it is flexible and robust enough to handle large data sets with significant noise and artifacts.
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