Unbiased noise estimation and denoising in parallel magnetic resonance imaging (Abstract/Poster in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Abstract/Poster in atti di convegno (Classe)

Label

• Unbiased noise estimation and denoising in parallel magnetic resonance imaging (Abstract/Poster in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/ICASSP.2014.6853793 (literal)

Alternative label

• Borrelli, Pasquale; Palma, G; Comerci, Marco; Alfano, Bruno (2014)
  Unbiased noise estimation and denoising in parallel magnetic resonance imaging
  in ICASSP 2014, 2014
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Borrelli, Pasquale; Palma, G; Comerci, Marco; Alfano, Bruno (literal)

Pagina inizio

• 1230 (literal)

Pagina fine

• 1234 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84905234778&origin=inward (literal)

Rivista

• Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (Rivista)

Note

• Scopu (literal)
• Abstract (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Universita degli Studi di Napoli Federico II; Consiglio Nazionale delle Ricerche (literal)

Titolo

• Unbiased noise estimation and denoising in parallel magnetic resonance imaging (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 9781479928927 (literal)

Abstract

• In magnetic resonance (MR) clinical practice, noise estimation is usually performed on Rayleigh-distributed background (no signal area) of magnitude images. Although noise variance in quadrature MR images is considered spatially independent, parallel MRI (pMRI) techniques as SENSE or GRAPPA generate spatially varying noise (SVN) distribution. In this scenario noise estimation from background may produce biased results. To address these limitations we introduce a novel noise estimation scheme based on local statistics. Our method turns out to be more accurate than the other pMRI noise estimation schemes previously described in the literature. Denoising performances, measured by visual inspection and peak signal-to-noise ratio (PSNR), of Non-Local Means denoising filters (NLM) are considerably improved using SVN-NLM in case of inhomogeneous noise. Furthermore, SVN-NLM behaves as well as standard NLM when homogeneous noise was added, thus proving to be a robust and powerful denoising algorithm for arbitrary MRI datasets. © 2014 IEEE. (literal)

Prodotto di

• Messa a punto di Metodiche Diagnostiche innovative di Imaging Quantitativo (ME.P06.004.002) (Modulo)
• Institute of biostructure and bioimaging (IBB) (Istituto)

Autore CNR

• MARCO COMERCI (Persona)
• GIUSEPPE PALMA (Unità di personale interno)
• BRUNO ALFANO (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Unbiased noise estimation and denoising in parallel magnetic resonance imaging" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• BRUNO ALFANO (Unità di personale interno)
• MARCO COMERCI (Persona)
• GIUSEPPE PALMA (Unità di personale interno)

Prodotto

• Institute of biostructure and bioimaging (IBB) (Istituto)
• Messa a punto di Metodiche Diagnostiche innovative di Imaging Quantitativo (ME.P06.004.002) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (Rivista)

Insieme di parole chiave di

• Parole chiave di "Unbiased noise estimation and denoising in parallel magnetic resonance imaging" (Insieme di parole chiave)