Unbiased measurements of reconstruction fidelity of sparsely sampled magnetic resonance spectra.
| dc.contributor.author | Wu, Qinglin | |
| dc.contributor.author | Coggins, Brian E | |
| dc.contributor.author | Zhou, Pei | |
| dc.coverage.spatial | England | |
| dc.date.accessioned | 2016-12-01T15:25:03Z | |
| dc.date.issued | 2016-07-27 | |
| dc.description.abstract | 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. | |
| dc.identifier | ||
| dc.identifier | ncomms12281 | |
| dc.identifier.eissn | 2041-1723 | |
| dc.identifier.uri | ||
| dc.language | eng | |
| dc.publisher | Springer Science and Business Media LLC | |
| dc.relation.ispartof | Nat Commun | |
| dc.relation.isversionof | 10.1038/ncomms12281 | |
| dc.title | Unbiased measurements of reconstruction fidelity of sparsely sampled magnetic resonance spectra. | |
| dc.type | Journal article | |
| duke.contributor.orcid | Zhou, Pei|0000-0002-7823-3416 | |
| pubs.author-url | ||
| pubs.begin-page | 12281 | |
| pubs.organisational-group | Basic Science Departments | |
| pubs.organisational-group | Biochemistry | |
| pubs.organisational-group | Chemistry | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Cancer Institute | |
| pubs.organisational-group | Institutes and Centers | |
| pubs.organisational-group | School of Medicine | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.publication-status | Published online | |
| pubs.volume | 7 |
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