Department of Biomedical Magnetic Resonance, Otto-von-Guericke University, 39120 Magdeburg, Germany.
Center for Behavioral Brain Sciences, 39118 Magdeburg, Germany.
Sci Data. 2017 Mar 14;4:170032. doi: 10.1038/sdata.2017.32.
We present an ultrahigh resolution in vivo human brain magnetic resonance imaging (MRI) dataset. It consists of T-weighted whole brain anatomical data acquired at 7 Tesla with a nominal isotropic resolution of 250 μm of a single young healthy Caucasian subject and was recorded using prospective motion correction. The raw data amounts to approximately 1.2 TB and was acquired in eight hours total scan time. The resolution of this dataset is far beyond any previously published in vivo structural whole brain dataset. Its potential use is to build an in vivo MR brain atlas. Methods for image reconstruction and image restoration can be improved as the raw data is made available. Pre-processing and segmentation procedures can possibly be enhanced for high magnetic field strength and ultrahigh resolution data. Furthermore, potential resolution induced changes in quantitative data analysis can be assessed, e.g., cortical thickness or volumetric measures, as high quality images with an isotropic resolution of 1 and 0.5 mm of the same subject are included in the repository as well.
我们呈现了一个超高分辨率的活体人脑磁共振成像(MRI)数据集。它由一名年轻健康的白种人在 7 特斯拉场强下采集的 T1 加权全脑解剖数据组成,具有 250μm 的名义各向同性分辨率,采用前瞻性运动校正技术进行记录。原始数据量约为 1.2TB,总扫描时间为 8 小时。该数据集的分辨率远远超过以前发表的任何活体结构全脑数据集。它的潜在用途是构建一个活体磁共振脑图谱。由于原始数据可用,图像重建和图像恢复的方法可以得到改进。对于高磁场强度和超高分辨率数据,可以增强预处理和分割过程。此外,可以评估分辨率诱导的定量数据分析的潜在变化,例如皮质厚度或容积测量,因为同一受试者的 1mm 和 0.5mm 各向同性分辨率的高质量图像也包含在存储库中。