Article (Scientific journals)
hMRI – A toolbox for quantitative MRI in neuroscience and clinical research
Tabelow, Karsten; Balteau, Evelyne; Ashburner, John et al.
2019In NeuroImage, 194, p. 191-210
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Keywords :
MRI; quantitative imaging; toolbox
Abstract :
[en] Neuroscience and clinical researchers are increasingly interested in quantitative magnetic resonance imaging (qMRI) due to its sensitivity to micro-structural properties of brain tissue such as axon, myelin, iron and water concentration. We introduce the hMRI-toolbox, an open-source, easy-to-use tool available on GitHub, for qMRI data handling and processing, presented together with a tutorial and example dataset. This toolbox allows the estimation of high-quality multi-parameter qMRI maps (longitudinal and effective transverse relaxation rates R1 and R2*, proton density PD and magnetisation transfer MT saturation) that can be used for quantitative parameter analysis and accurate delineation of subcortical brain structures. The qMRI maps generated by the toolbox are key input parameters for biophysical models designed to estimate tissue microstructure properties such as the MR g-ratio and to derive standard and novel MRI biomarkers. Thus, the current version of the toolbox is a first step towards in vivo histology using MRI (hMRI) and is being extended further in this direction. Embedded in the Statistical Parametric Mapping (SPM) framework, it benefits from the extensive range of established SPM tools for high-accuracy spatial registration and statistical inferences and can be readily combined with existing SPM toolboxes for estimating diffusion MRI parameter maps. From a user's perspective, the hMRI-toolbox is an efficient, robust and simple framework for investigating qMRI data in neuroscience and clinical research.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Tabelow, Karsten
Balteau, Evelyne ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Ashburner, John
Callaghan, Martina F.
Draganski, Bogdan
Helms, Gunther
Kherif, Ferath
Leutritz, Tobias
Lutti, Antoine
Phillips, Christophe  ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Reimer, Enrico
Ruthotto, Lars
Seif, Maryam
Weiskopf, Nikolaus
Ziegler, Gabriel
Mohammadi, Siawoosh
More authors (6 more) Less
Language :
English
Title :
hMRI – A toolbox for quantitative MRI in neuroscience and clinical research
Publication date :
21 January 2019
Journal title :
NeuroImage
ISSN :
1053-8119
eISSN :
1095-9572
Publisher :
Elsevier, United States - Florida
Volume :
194
Pages :
191-210
Peer reviewed :
Peer Reviewed verified by ORBi
Additional URL :
Available on ORBi :
since 29 January 2019

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