Unbiased measurements of reconstruction fidelity of sparsely sampled magnetic resonance spectra.

Journal Article

The application of sparse-sampling techniques to NMR data acquisition would benefit from reliable quality measurements for reconstructed spectra. We introduce a pair of noise-normalized measurements, and , for differentiating inadequate modelling from overfitting. While and can be used jointly for methods that do not enforce exact agreement between the back-calculated time domain and the original sparse data, the cross-validation measure is applicable to all reconstruction algorithms. We show that the fidelity of reconstruction is sensitive to changes in and that model overfitting results in elevated and reduced spectral quality.

Full Text

Duke Authors

Cited Authors

  • Wu, Q; Coggins, BE; Zhou, P

Published Date

  • July 27, 2016

Published In

Volume / Issue

  • 7 /

Start / End Page

  • 12281 -

PubMed ID

  • 27459896

Electronic International Standard Serial Number (EISSN)

  • 2041-1723

International Standard Serial Number (ISSN)

  • 2041-1723

Digital Object Identifier (DOI)

  • 10.1038/ncomms12281

Language

  • eng