Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data.
Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data.
复制标题
优化组织 MRI 表征 (TOMCAT) 数据集，包括所有海马子域纵向自动分割 (LASHiS) 数据。
DOI：
10.1016/j.dib.2020.106043
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发表时间：
2020
期刊：
影响因子：
1.2
通讯作者：
Bollmann,Steffen
中科院分区：
文献类型：
--
作者：
Shaw,ThomasB;York,Ashley;Barth,Markus;Bollmann,Steffen
使用Siemens Magnetom 7 Tesla（T）全身研究MRI扫描仪（Siemens Healthcare，埃尔兰根，德国）扫描7名健康参与者。第一次扫描会话于2016年采集（时间点1），第二次和第三次会话于2019年采集（分别为时间点2和时间点3），第三次会话在第二次扫描后45分钟采集，作为扫描重新扫描条件。在所有时间点采集以下扫描：结构T1加权（T1w）MP2回波，专用于海马子场分割的高平面内分辨率涡轮自旋回波（TSE）。迄今为止，这些数据已用于三个项目，更多信息请参见：1）涡轮自旋回波回顾性运动校正和海马分割改进的非线性重新对齐[1] 2）使用多对比MRI的海马子场纵向自动分割（LASHiS）[2]。3)超高场定量磁化率标测的无偏置线圈组合的挑战[3]。根据脑成像数据结构（BIDS）[4]，将数据从DICOM转换为nifti格式。对随附手稿“使用多重对比MRI对海马子场进行纵向自动分割（LASHiS）”的数据进行了分析，包括重测可靠性和纵向贝叶斯线性混合效应（LME）建模。
Seven healthy participants were scanned using a Siemens Magnetom 7 Tesla (T) whole-body research MRI scanner (Siemens Healthcare, Erlangen, Germany). The first scan session was acquired in 2016 (time point one), the second and third session in 2019 (time point two and three, respectively) with the third session acquired 45 min following the second as a scan-rescan condition. The following scans were acquired for all time points: structural T1 weighted (T1w) MP2RAGE, high in-plane resolution Turbo-Spin Echo (TSE) dedicated for hippocampus subfield segmentation. The data were used in three projects to date, for more insight see: 1) Non-linear realignment for Turbo-Spin Echo retrospective motion correction and hippocampus segmentation improvement [1] 2) Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI [2]. 3) The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field [3]. Data were converted from DICOM to nifti format following the Brain Imaging Data Structure (BIDS) [4]. Data were analysed for the accompanying manuscript “Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI” including test-retest reliability and longitudinal Bayesian Linear Mixed Effects (LME) modelling.