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Titolo:
Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imaging
Autore:
Parker, GJM; Schnabel, JA; Symms, MR; Werring, DJ; Barker, GJ;
Indirizzi:
Univ Coll London, Inst Neurol, Univ Dept Clin Neurol, NMR Res Unit, LondonWC1N 3BG, England Univ Coll London London England WC1N 3BG s Unit, LondonWC1N 3BG, England
Titolo Testata:
JOURNAL OF MAGNETIC RESONANCE IMAGING
fascicolo: 6, volume: 11, anno: 2000,
pagine: 702 - 710
SICI:
1053-1807(200006)11:6<702:NSFROS>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
EDGE-DETECTION; ANISOTROPY;
Keywords:
diffusion tensor imaging; noise reduction; systematic errors; signal-to-noise ratio;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
16
Recensione:
Indirizzi per estratti:
Indirizzo: Parker, GJM Univ Coll London, Inst Neurol, Univ Dept Clin Neurol, NMR Res Unit, Queen Sq, London WC1N 3BG, England Univ Coll London Queen Sq London England WC1N 3BG BG, England
Citazione:
G.J.M. Parker et al., "Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imaging", J MAGN R I, 11(6), 2000, pp. 702-710

Abstract

Calculation and sorting of the eigenvectors of diffusion sing diffusion tensor imaging has previously been shown to be sensitive to noise levels in the acquired data. This sensitivity manifests as random and systematic errors in the diffusion eigenvalues and derived parameters such as indices of anisotropy. An optimized application of nonlinear smoothing techniques to diffusion data prior to calculation of the diffusion tensor is shown to reduceboth random and systematic errors, while causing little blurring of anatomical structures. Conversely, filtering applied to calculated images of fractional anisotropy is shown to fail in reducing systematic errors and in recovering anatomical detail. Using both real and simulated brain data sets, it is demonstrated that this approach has the potential to allow acquisitionof data that would otherwise be too noisy to be of use. J. Magn. Reson. Imaging 2000;11:702-710. (C) 2000 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 18/09/20 alle ore 16:57:28