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Titolo:
Noise correction for the exact determination of apparent diffusion coefficients at low SNR
Autore:
Dietrich, O; Heiland, S; Sartor, K;
Indirizzi:
Univ Heidelberg, Sch Med, Dept Neuroradiol, D-69120 Heidelberg, Germany Univ Heidelberg Heidelberg Germany D-69120 , D-69120 Heidelberg, Germany
Titolo Testata:
MAGNETIC RESONANCE IN MEDICINE
fascicolo: 3, volume: 45, anno: 2001,
pagine: 448 - 453
SICI:
0740-3194(200103)45:3<448:NCFTED>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
MAGNETIC-RESONANCE IMAGES; MR-IMAGES; ANISOTROPY;
Keywords:
noise correction; diffusion-weighted imaging; non-Gaussian noise; Gaussian noise; apparent diffusion coefficient;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Dietrich, O Univ Heidelberg, Sch Med, Dept Neuroradiol, Neuenheimer Feld 400, D-69120 Heidelberg, Germany Univ Heidelberg Neuenheimer Feld 400 Heidelberg Germany D-69120
Citazione:
O. Dietrich et al., "Noise correction for the exact determination of apparent diffusion coefficients at low SNR", MAGN RES M, 45(3), 2001, pp. 448-453

Abstract

Noise in MR image data increases the mean signal intensity of image regions due to the usually performed magnitude reconstruction. Diffusion-weightedimaging (DWI) is especially affected by high noise levels for several reasons, and a decreasing SNR at increasing diffusion weighting causes systematic errors when calculating apparent diffusion coefficients (ADCs). Two different methods are presented to correct biased signal intensities due to thepresence of complex noise: 1) with Gaussian intensity distribution, and 2)with arbitrary intensity distribution. The performance of the correction schemes is demonstrated by numerical simulations and DWI measurements on twodifferent MR systems with different noise characteristics. These experiments show that noise significantly influences the determination of ADCs. Applying the proposed correction schemes reduced the bias of the determined ADCto less than 10% of the bias without correction. (C) 2001 Wiley-Liss, Inc.

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Documento generato il 01/12/20 alle ore 22:27:43