Bammer R, Markl M, Barnett A, Acar B, Alley M T, Pelc N J, Glover G H, Moseley M E
Lucas MRS/I Center, Department of Radiology, Stanford University, Stanford, California 94305, USA.
Magn Reson Med. 2003 Sep;50(3):560-9. doi: 10.1002/mrm.10545.
Nonuniformities of magnetic field gradients can cause serious artifacts in diffusion imaging. While it is well known that nonlinearities of the imaging gradients lead to image warping, those imperfections can also cause spatially dependent errors in the direction and magnitude of the diffusion encoding. This study shows that the potential errors in diffusion imaging are considerable. Further, we show that retrospective corrections can be applied to reduce these errors. A general mathematical framework was formulated to characterize the contribution of gradient nonuniformities to diffusion experiments. The gradient field was approximated using spherical harmonic expansion, and this approximation was employed (after geometric distortions were eliminated) to predict and correct the errors in diffusion encoding. Before the corrections were made, the experiments clearly revealed marked deviations of the calculated diffusivity for fields of view (FOVs) generally used in diffusion experiments. These deviations were most significant farther away from the magnet's isocenter. For an FOV of 25 cm, the resultant errors in absolute diffusivity ranged from approximately -10% to +20%. Within the same FOV, the diffusion-encoding direction and the orientation of the calculated eigenvectors can be significantly altered if the perturbations by the gradient nonuniformities are not considered. With the proposed correction scheme, most of the errors introduced by gradient nonuniformities can be removed.
磁场梯度的不均匀性会在扩散成像中导致严重的伪影。虽然众所周知成像梯度的非线性会导致图像扭曲,但这些缺陷也会在扩散编码的方向和大小上引起空间相关的误差。本研究表明,扩散成像中的潜在误差相当大。此外,我们表明可以应用回顾性校正来减少这些误差。制定了一个通用的数学框架来表征梯度不均匀性对扩散实验的影响。使用球谐展开对梯度场进行近似,并在消除几何畸变后采用这种近似来预测和校正扩散编码中的误差。在进行校正之前,实验清楚地显示了扩散实验中通常使用的视野(FOV)的计算扩散率存在明显偏差。这些偏差在离磁体等中心较远的地方最为显著。对于25厘米的视野,绝对扩散率的最终误差范围约为-10%至+20%。在相同的视野内,如果不考虑梯度不均匀性的扰动,扩散编码方向和计算出的特征向量的方向可能会发生显著改变。采用所提出的校正方案,可以消除大部分由梯度不均匀性引入的误差。