Kim Boklye, Srinivasan Ashok, Sabb Brian, Feldman Eva L, Pop-Busui Rodica
Department of Radiology, University of Michigan, Ann Arbor, Michigan.
Department of Radiology, University of Michigan, Ann Arbor, Michigan.
Clin Imaging. 2014 Sep-Oct;38(5):648-54. doi: 10.1016/j.clinimag.2014.04.008. Epub 2014 Apr 28.
To develop a diffusion tensor imaging (DTI) protocol for assessing the sural nerve in healthy subjects.
Sural nerves in 25 controls were imaged using DTI at 3T with 6, 15, and 32 gradient directions. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were computed from nerve regions of interest co-registered with T2-weighted images.
Coronal images with 0.5(RL)× 2.0(FH)× 0.5(AP)mm(3) resolution successfully localized the sural nerve. FA maps showed less variability with 32 directions (0.559 ± 0.071) compared to 15(0.590 ± 0.080) and 6(0.659 ± 0.109).
Our DTI protocol was effective in imaging sural nerves in controls to establish normative FA/ADC, with potential to be used non-invasively in diseased nerves of patients.
制定一种用于评估健康受试者腓肠神经的扩散张量成像（DTI）方案。
对25名对照者的腓肠神经在3T条件下采用具有6、15和32个梯度方向的DTI进行成像。从与T2加权图像配准的神经感兴趣区域计算分数各向异性（FA）和表观扩散系数（ADC）。
分辨率为0.5（RL）×2.0（FH）×0.5（AP）mm³的冠状位图像成功定位了腓肠神经。与15个方向（0.590±0.080）和6个方向（0.659±0.109）相比，32个方向的FA图显示出较小的变异性（0.559±0.071）。
我们的DTI方案在对对照者的腓肠神经进行成像以建立正常的FA/ADC方面是有效的，具有在患者患病神经中进行无创应用的潜力。
