Unbiased measurements of reconstruction fidelity of sparsely sampled magnetic resonance spectra.
Journal Article (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.
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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
Pubmed Central ID
- PMC4974455
Electronic International Standard Serial Number (EISSN)
- 2041-1723
Digital Object Identifier (DOI)
- 10.1038/ncomms12281
Language
- eng
Conference Location
- England