Diffusion Tensor MR Imaging of the Brain: Effect of Diffusion Weighting on Trace and Anisotropy Measurements

Abstract

BACKGROUND AND PURPOSE: In human brain, the relationship between MR signal and b value is complicated by cerebral perfusion, restricted diffusion, anisotropy, cellular membrane permeability, and active cellular transport of water molecules. Our purpose was to evaluate the effect of the number and strength of diffusion-sensitizing gradients on measured isotropic apparent diffusion coefficients (ADC_i), fractional anisotropy (FA), and their respective SD in different anatomic locations of the brain.

METHODS: Quantitative apparent diffusion coefficients and diffusion anisotropy brain maps were obtained from 10 healthy volunteers by using six different levels of diffusion weighting (b0 = 0, b1 = 160, b2 = 320, b3 = 480, b4 = 640, and b5 = 800 s/mm²), applied sequentially in six different directions (G_xx, G_yy, G_zz, G_xy, G_xz, G_yz) and coupled to a single-shot spin-echo echo-planar (2045/115 [TR/TE]) MR imaging technique. ADC_i, FA, eigenvalues (λ1, λ2, λ3)¹ of the principal eigenvectors, and their respective SD were measured from seven different anatomic locations in the brain. Repeated measures analysis of variance was used to evaluate for the existence of significant differences in the average and SD of the calculated ADC_i and FA as a function of the number and strength of b values. When a difference existed, the Bonferroni t method was used for paired comparisons of the groups.

RESULTS: The measured ADC_i was affected by the number and strength of b values (P < .05). The SD of the ADC_i was affected by the strength (P < .05) but not the number of b values (P > .05). The measured FA was unaffected by the number and strength of b values (P > .05). The SD was affected by the number and strength of b values (P < .05).

CONCLUSION: The number and strength of b values do influence measures of diffusion and anisotropy. Attention to the choice of diffusion sensitization parameters is important in decisions regarding clinical feasibility (acquisition time) and normative measures.