http://www.cnr.it/ontology/cnr/individuo/prodotto/ID24161
Noise correlations and SNR in phased-array MRS. (Articolo in rivista)
- Type
- Label
- Noise correlations and SNR in phased-array MRS. (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1002/nbm.1429 (literal)
- Alternative label
Martini N, Santarelli MF, Giovannetti G, Milanesi M, De Marchi D, Positano V, Landini L (2010)
Noise correlations and SNR in phased-array MRS.
in NMR in biomedicine
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Martini N, Santarelli MF, Giovannetti G, Milanesi M, De Marchi D, Positano V, Landini L (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- PubMed (literal)
- Scopus (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Interdepartmental Research Center 'E. Piaggio', University of Pisa, Pisa, Italy
MRI Laboratory, 'G. Monasterio' Foundation
Institute of Clinical Physiology, CNR Pisa, Italy
Department of Information Engineering, University of Pisa, Pisa, Italy (literal)
- Titolo
- Noise correlations and SNR in phased-array MRS. (literal)
- Abstract
- The acquisition of magnetic resonance spectroscopy (MRS) signals by multiple receiver coils can improve the
signal-to-noise ratio (SNR) or alternatively can reduce the scan time maintaining a reliable SNR. However, using
phased array coils in MRS studies requires efficient data processing and data combination techniques in order to
exploit the sensitivity improvement of the phased array coil acquisition method. This paper describes a novel method
for the combination of MRS signals acquired by phased array coils, even in presence of correlated noise between
the acquisition channels. In fact, although it has been shown that electric and magnetic coupling mechanisms
produce correlated noise in the coils, previous algorithms developed for MRS data combination have ignored this
effect. The proposed approach takes advantage of a noise decorrelation stage to maximize the SNR of the combined
spectra. In particular Principal Component Analysis (PCA) was exploited to project the acquired spectra in a subspace
where the noise vectors are orthogonal. In this subspace the SNR weighting method will provide the optimal overall
SNR. Performance evaluation of the proposed method is carried out on simulated 1H-MRS signals and experimental
results are obtained on phantom 1H-MR spectra using a commercially available 8-element phased array coil. Noise
correlations between elements were generally low due to the optimal coil design, leading to a fair SNR gain (about
0.5%) in the center of the field of view (FOV). A greater SNR improvement was found in the peripheral FOV regions. (literal)
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