Quantitative magnetization transfer imaging of the human locus coeruleus

The aim of this study was to characterize the magnetization transfer (MT) effects in locus coeruleus (LC) imaging by applying high spatial resolution quantitative MT (qMT) imaging to create parametric maps of the macromolecular content of the LC and surrounding tissues. Healthy volunteers (n=26; sex=17F/9M; age range=20-72 years) underwent brain MRI on a 3.0 Tesla scanner. qMT data were acquired using a 3D MT-prepared spoiled gradient echo sequence. A traditional Neuromelanin (NM) scan consisting of a T1-weighted turbo spin echo sequence with MT preparation was also acquired. PSR was estimated for each voxel using a single-point qMT approach (Yarnykh VL, 2012, doi: 10.1002/mrm.23224). This repository includes the qMT datasets for the 26 participants. The dataset for each subject includes the following preprocessed images: - B0map.nii - B1map.nii - NM_2_qMT.nii (NM scan using 2D multislice TSE) - qMT_1pt_mc.nii (motion corrected qMT data) - qMT_2kHz.nii (MT-weighted image) - qMT_ref.nii (Reference image - No MT) - T1mfa.nii (multiple flip angle images to calculate the T1 map) All the above are coregistered to qMT_2kHz.nii. The dataset also includes the following processed images: - PSR_kba12p5.nii (PSR map) - T1obs.nii (T1 map) Matlab code required for data analysis has been posted at https://github.com/smithalexk/pulsed_qMT/tree/5ec63095c3b4e426a076b5730bffcab415df9c95 When using the code, please cite - Smith AK, et al., Neuroimage, 2014; doi: 10.1016/j.neuroimage.2014.03.005 - Trujillo P, et al., Neuroradiology, 2017; doi: 10.1007/s00234-017-1911-2本研究旨在通过应用高空间分辨率定量磁化转移（quantitative magnetization transfer, MT）成像技术，构建蓝斑（locus coeruleus, LC）及其周围组织的大分子含量参数图，以表征LC成像中的磁化转移效应。 招募健康志愿者26名（女性17名，男性9名；年龄范围20~72岁），于3.0T磁共振扫描仪中完成脑部磁共振成像（magnetic resonance imaging, MRI）扫描。采用三维MT准备的扰相梯度回波序列采集定量MT（qMT）数据；同时采集包含MT准备的T1加权涡轮自旋回波（turbo spin echo, TSE）序列的传统神经黑色素（neuromelanin, NM）扫描数据。采用单点qMT方法（Yarnykh VL, 2012, doi: 10.1002/mrm.23224）对每个体素的磁化转移比例（pool size ratio, PSR）进行估算。 本仓库包含26名受试者的qMT数据集。 每名受试者的数据集包含以下预处理图像： - B0map.nii：B0场图 - B1map.nii：B1场图 - NM_2_qMT.nii（采用二维多层TSE的NM扫描图像） - qMT_1pt_mc.nii（运动校正后的qMT数据） - qMT_2kHz.nii（MT加权图像） - qMT_ref.nii（参考图像：无MT准备） - T1mfa.nii（用于计算T1图的多翻转角图像） 上述所有图像均已配准至qMT_2kHz.nii图像。 数据集还包含以下处理后图像： - PSR_kba12p5.nii（PSR参数图） - T1obs.nii（T1弛豫时间图） 数据分析所需的Matlab代码已发布于：https://github.com/smithalexk/pulsed_qMT/tree/5ec63095c3b4e426a076b5730bffcab415df9c95 使用该代码时，请引用以下文献： - Smith AK等, 《Neuroimage》, 2014; doi: 10.1016/j.neuroimage.2014.03.005 - Trujillo P等, 《Neuroradiology》, 2017; doi: 10.1007/s00234-017-1911-2