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Titolo:
Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI
Autore:
Skare, S; Hedehus, M; Moseley, ME; Li, TQ;
Indirizzi:
Karolinska Inst, Karolinska MR Ctr, S-17176 Stockholm, Sweden Karolinska Inst Stockholm Sweden S-17176 Ctr, S-17176 Stockholm, Sweden Stanford Univ, Lucas MRI MRS Res Ctr, Stanford, CA 94305 USA Stanford Univ Stanford CA USA 94305 I MRS Res Ctr, Stanford, CA 94305 USA Princeton Univ, Dept Psychol, Princeton, NJ 08544 USA Princeton Univ Princeton NJ USA 08544 pt Psychol, Princeton, NJ 08544 USA
Titolo Testata:
JOURNAL OF MAGNETIC RESONANCE
fascicolo: 2, volume: 147, anno: 2000,
pagine: 340 - 352
SICI:
1090-7807(200012)147:2<340:CNAAMO>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
WHITE-MATTER; HUMAN BRAIN; ANISOTROPY; SCHIZOPHRENIA; COEFFICIENT; FEATURES; TISSUES; STROKE;
Keywords:
diffusion tensor imaging; optimization; noise; condition number;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Physical, Chemical & Earth Sciences
Citazioni:
41
Recensione:
Indirizzi per estratti:
Indirizzo: Skare, S Karolinska Inst, Karolinska MR Ctr, S-17176 Stockholm, Sweden Karolinska Inst Stockholm Sweden S-17176 7176 Stockholm, Sweden
Citazione:
S. Skare et al., "Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI", J MAGN RES, 147(2), 2000, pp. 340-352

Abstract

Diffusion tensor mapping with MRI can noninvasively track neural connectivity and has great potential for neural scientific research and clinical applications. For each diffusion tensor imaging (DTI) data acquisition scheme,the diffusion tensor is related to the measured apparent diffusion coefficients (ADC) by a transformation matrix. With theoretical analysis we demonstrate that the noise performance of a DTI scheme is dependent on the condition number of the transformation matrix. To test the theoretical framework,we compared the noise performances of different DTI schemes using Monte-Carlo computer simulations and experimental DTI measurements. Both the simulation and the experimental results confirmed that the noise performances of different DTI schemes are significantly correlated with the condition number of the associated transformation matrices. We therefore applied numericalalgorithms to optimize a DTI scheme by minimizing the condition number, hence improving the robustness to experimental noise. In the determination ofanisotropic diffusion tensors with different orientations, MRI data acquisitions using a single optimum b value based on the mean diffusivity can produce ADC maps with regional differences in noise level. This will give riseto rotational variances of eigenvalues and anisotropy when diffusion tensor mapping is performed using a DTI scheme with a limited number of diffusion-weighting gradient directions. To reduce this type of artifact, a DTI scheme with not only a small condition number but also a large number of evenly distributed diffusion-weighting gradients in 3D is preferable. (C) 2000 Academic Press.

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Documento generato il 18/09/20 alle ore 17:08:53