Brain MR Fingerprinting data of 5 volunteers

Data of brain acquisitions using MR Fringerpringing [1] and reconstructed with an in-house implemented low-rank algorithm. Each .zip file contains the acquisitions of one volunteer on the same weekday during 8 consecutive weeks. The data is provided as MatLab (Mathworks, Natick MA) files. The files have the reconstructed series compressed in time (using SVD compression) and the compression matrix needed to obtain the full-time series reconstruction. A MatLab script is provided to obtain the full-time series from the compressed data.

This work was funded by a Research Grant from GE(B-GEHC-05)

[1]Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magnetic Resonance in Medicine 2015;74:1621–31. https://doi.org/10.1002/mrm.25559.

本数据集包含采用磁共振指纹成像（MR Fingerprinting）采集的脑部影像数据，该数据通过自研低秩算法完成重建。每个.zip压缩包包含同一名志愿者在连续8周内每个工作日的影像采集数据。数据以MatLab（MathWorks, 美国马萨诸塞州内蒂克市）格式提供，文件包含经奇异值分解（Singular Value Decomposition, SVD）压缩后的重建序列，以及用于还原全时间序列重建所需的压缩矩阵。同时附带MatLab脚本，可从压缩数据中恢复完整的时间序列。

本研究由通用电气（GE）提供的研究基金（项目编号：B-GEHC-05）资助。

[1] Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. 采用螺旋读出稳态进动快速成像（FISP）的磁共振指纹成像. 《磁共振医学杂志》, 2015;74:1621–31. https://doi.org/10.1002/mrm.25559.