Caiazzo Giuseppina, Trojsi Francesca, Cirillo Mario, Tedeschi Gioacchino, Esposito Fabrizio
MRI Research Center SUN-FISM-Neurological Institute for Diagnosis and Care "Hermitage Capodimonte", Naples, Italy.
Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy.
Neuroradiology. 2016 Feb;58(2):209-15. doi: 10.1007/s00234-015-1616-3. Epub 2015 Nov 16.
INTRODUCTION: Q-ball imaging (QBI) is one of the typical data models for quantifying white matter (WM) anisotropy in diffusion-weighted MRI (DwMRI) studies. Brain and spinal investigation by high angular resolution DwMRI (high angular resolution imaging (HARDI)) protocols exhibits higher angular resolution in diffusion imaging compared to low angular resolution models, although with longer acquisition times. We aimed to assess the difference between QBI-derived anisotropy values from high and low angular resolution DwMRI protocols and their potential advantages or shortcomings in neuroradiology. METHODS: Brain DwMRI data sets were acquired in seven healthy volunteers using both HARDI (b = 3000 s/mm(2), 54 gradient directions) and low angular resolution (b = 1000 s/mm(2), 32 gradient directions) acquisition schemes. For both sequences, tract of interest tractography and generalized fractional anisotropy (GFA) measures were extracted by using QBI model and were compared between the two data sets. RESULTS: QBI tractography and voxel-wise analyses showed that some WM tracts, such as corpus callosum, inferior longitudinal, and uncinate fasciculi, were reconstructed as one-dominant-direction fiber bundles with both acquisition schemes. In these WM tracts, mean percent different difference in GFA between the two data sets was less than 5%. Contrariwise, multidirectional fiber bundles, such as corticospinal tract and superior longitudinal fasciculus, were more accurately depicted by HARDI acquisition scheme. CONCLUSION: Our results suggest that the design of optimal DwMRI acquisition protocols for clinical investigation of WM anisotropy by QBI models should consider the specific brain target regions to be explored, inducing researchers to a trade-off choice between angular resolution and acquisition time.
引言:Q球成像(QBI)是扩散加权磁共振成像(DwMRI)研究中用于量化白质(WM)各向异性的典型数据模型之一。与低角分辨率模型相比,采用高角分辨率DwMRI(高角分辨率成像(HARDI))协议进行脑和脊髓检查在扩散成像中具有更高的角分辨率,尽管采集时间更长。我们旨在评估高、低角分辨率DwMRI协议得出的QBI各向异性值之间的差异及其在神经放射学中的潜在优势或不足。 方法:使用HARDI(b = 3000 s/mm(2),54个梯度方向)和低角分辨率(b = 1000 s/mm(2),32个梯度方向)采集方案,在7名健康志愿者中获取脑DwMRI数据集。对于这两种序列,使用QBI模型提取感兴趣束的纤维束成像和广义分数各向异性(GFA)测量值,并在两个数据集之间进行比较。 结果:QBI纤维束成像和体素分析表明,一些白质束,如胼胝体、下纵束和钩束,在两种采集方案下均被重建为单主导方向的纤维束。在这些白质束中,两个数据集之间GFA的平均百分比差异小于5%。相反,多方向纤维束,如皮质脊髓束和上纵束,通过HARDI采集方案能更准确地描绘。 结论:我们的结果表明,通过QBI模型对白质各向异性进行临床研究时,最佳DwMRI采集协议的设计应考虑要探索的特定脑目标区域,这促使研究人员在角分辨率和采集时间之间进行权衡选择。
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