Callaghan Martina F, Lutti Antoine, Ashburner John, Balteau Evelyne, Corbin Nadège, Draganski Bogdan, Helms Gunther, Kherif Ferath, Leutritz Tobias, Mohammadi Siawoosh, Phillips Christophe, Reimer Enrico, Ruthotto Lars, Seif Maryam, Tabelow Karsten, Ziegler Gabriel, Weiskopf Nikolaus
Wellcome Centre for Human Neuroimaging, London, UK.
Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Switzerland.
Data Brief. 2019 Jun 11;25:104132. doi: 10.1016/j.dib.2019.104132. eCollection 2019 Aug.
The hMRI toolbox is an open-source toolbox for the calculation of quantitative MRI parameter maps from a series of weighted imaging data, and optionally additional calibration data. The multi-parameter mapping (MPM) protocol, incorporating calibration data to correct for spatial variation in the scanner's transmit and receive fields, is the most complete protocol that can be handled by the toolbox. Here we present a dataset acquired with such a full MPM protocol, which is made freely available to be used as a tutorial by following instructions provided on the associated toolbox wiki pages, which can be found at http://hMRI.info, and following the theory described in: hMRI - A toolbox for quantitative MRI in neuroscience and clinical research [1].
hMRI工具箱是一个开源工具箱，用于从一系列加权成像数据以及可选的其他校准数据中计算定量MRI参数图。多参数映射（MPM）协议结合了校准数据以校正扫描仪发射和接收场中的空间变化，是该工具箱能够处理的最完整协议。在这里，我们展示了使用这种完整MPM协议获取的数据集，该数据集可免费获取，通过遵循相关工具箱维基页面（可在http://hMRI.info上找到）提供的说明以及遵循[1]中描述的理论，用作教程。
