Goubran Maged, Rudko David A, Santyr Brendan, Gati Joe, Szekeres Trevor, Peters Terry M, Khan Ali R
Imaging Research Laboratories, Robarts Research Institute, Western University, London, Ontario, Canada; Biomedical Engineering, Western University, London, Ontario, Canada.
Hum Brain Mapp. 2014 Aug;35(8):3588-601. doi: 10.1002/hbm.22423. Epub 2013 Dec 13.
To generate a high-resolution atlas of the hippocampal subfields using images acquired from 7 T, multi-echo, gradient-echo MRI for the evaluation of epilepsy and neurodegenerative disorders as well as investigating R2* (apparent transverse relaxation rate) and quantitative volume magnetic susceptibility (QS) of the subfields.
Healthy control subjects (n=17) were scanned at 7 T using a multi-echo gradient-echo sequence and susceptibility-weighted magnitude images, R2* and QS maps were reconstructed. We defined a hippocampal subfield labeling protocol for the magnitude image produced from the average of all echoes and assessed reproducibility through volume and shape metrics. A group-wise diffeomorphic registration procedure was used to generate an average atlas of the subfields for the whole subject cohort. The quantitative MRI maps and subfield labels were then warped to the average atlas space and used to measure mean values of R2* and QS characterizing each subfield.
We were able to reliably label hippocampal subfields on the multi-echo susceptibility images. The group-averaged atlas accurately aligns these structures to produce a high-resolution depiction of the subfields, allowing assessment of both quantitative susceptibility and R2* across subjects. Our analysis of variance demonstrates that there are more apparent differences between the subfields on these quantitative maps than the normalized magnitude images.
We constructed a high-resolution atlas of the hippocampal subfields for use in voxel-based studies and demonstrated in vivo quantification of susceptibility and R2* in the subfields. This work is the first in vivo quantification of susceptibility values within the hippocampal subfields at 7 T.
利用从7T多回波梯度回波磁共振成像(MRI)获取的图像生成海马亚区的高分辨率图谱,用于评估癫痫和神经退行性疾病,并研究亚区的R2*(表观横向弛豫率)和定量体积磁化率(QS)。
使用多回波梯度回波序列和磁化率加权幅度图像在7T对17名健康对照受试者进行扫描,重建R2和QS图谱。我们为所有回波平均值产生的幅度图像定义了海马亚区标记方案,并通过体积和形状指标评估其可重复性。使用逐组微分同胚配准程序为整个受试者队列生成亚区的平均图谱。然后将定量MRI图谱和亚区标签扭曲到平均图谱空间,并用于测量表征每个亚区的R2和QS的平均值。
我们能够在多回波磁化率图像上可靠地标记海马亚区。群体平均图谱准确地对齐这些结构,以产生亚区的高分辨率描绘,从而能够评估受试者之间的定量磁化率和R2*。我们的方差分析表明,这些定量图谱上亚区之间的差异比归一化幅度图像上的差异更明显。
我们构建了一个用于基于体素研究的海马亚区高分辨率图谱,并证明了在体内对亚区的磁化率和R2*进行量化。这项工作是首次在7T下对海马亚区内的磁化率值进行体内量化。