Fast multi-dimensional NMR acquisition and processing using the sparse FFT

Haitham Hassanieh, Maxim Mayzel, Lixin Shi, Dina Katabi, Vladislav Yu Orekhov

Research output: Contribution to journalArticlepeer-review

Abstract

Increasing the dimensionality of NMR experiments strongly enhances the spectral resolution and provides invaluable direct information about atomic interactions. However, the price tag is high: long measurement times and heavy requirements on the computation power and data storage. We introduce sparse fast Fourier transform as a new method of NMR signal collection and processing, which is capable of reconstructing high quality spectra of large size and dimensionality with short measurement times, faster computations than the fast Fourier transform, and minimal storage for processing and handling of sparse spectra. The new algorithm is described and demonstrated for a 4D BEST-HNCOCA spectrum.

Original languageEnglish (US)
Pages (from-to)9-19
Number of pages11
JournalJournal of Biomolecular NMR
Volume63
Issue number1
DOIs
StatePublished - Sep 26 2015
Externally publishedYes

Keywords

  • Compressed sensing
  • Fast NMR
  • Non uniform sampling
  • Reduced dimensionality

ASJC Scopus subject areas

  • Biochemistry
  • Spectroscopy

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