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Example dataset for the hMRI toolbox

Callaghan, Martina F ; Lutti, Antoine ; Ashburner, John ; Balteau, Evelyne ; Corbin, Nadége ; Draganski, Bogdan ; Helms, Gunther LU ; Kherif, Ferath ; Leutritz, Tobias and Mohammadi, Siawoosh , et al. (2019) In Data in Brief
Abstract
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... (More)
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. (Less)
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Contribution to journal
publication status
published
subject
in
Data in Brief
article number
104132
publisher
Elsevier
external identifiers
  • scopus:85067696692
ISSN
2352-3409
DOI
10.1016/j.dib.2019.104132
project
hMRI Toolbox Team
language
English
LU publication?
yes
id
27b1b5ac-39ea-4a98-9cc2-f9b445f82203
date added to LUP
2019-06-12 14:56:42
date last changed
2019-07-30 05:03:37
@article{27b1b5ac-39ea-4a98-9cc2-f9b445f82203,
  abstract     = {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.},
  author       = {Callaghan, Martina F and Lutti, Antoine and Ashburner, John and Balteau, Evelyne and Corbin, Nadége and Draganski, Bogdan and Helms, Gunther and Kherif, Ferath and Leutritz, Tobias and Mohammadi, Siawoosh and Philips, Christophe and Reimer, Enrico and Ruthotto, Lars and Seif, Maryam and Tabelow, Karsten and Ziegler, Gabriel and Weiskopf, Nikolaus},
  issn         = {2352-3409},
  language     = {eng},
  publisher    = {Elsevier},
  series       = {Data in Brief},
  title        = {Example dataset for the hMRI toolbox},
  url          = {http://dx.doi.org/10.1016/j.dib.2019.104132},
  doi          = {10.1016/j.dib.2019.104132},
  year         = {2019},
}