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hMRI – A toolbox for quantitative MRI in neuroscience and clinical research

Tabelow, Karsten (author)
Weierstraß Institute for Applied Analysis and Stochastics
Balteau, Evelyne (author)
University of Liège
Ashburner, John (author)
Wellcome Trust Centre for Neuroimaging, London
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Callaghan, Martina F (author)
Wellcome Trust Centre for Neuroimaging, London
Draganski, Bogdan (author)
University of Lausanne
Helms, Gunther (author)
Lund University,Lunds universitet,Medicinsk strålningsfysik, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,MR Physics,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
Kherif, Ferath (author)
University of Lausanne
Leutritz, Tobias (author)
Max Planck Institute for Human Cognitive and Brain Sciences
Lutti, Antoine (author)
Philips, Christophe (author)
University of Liège
Reimer, Enrico (author)
Max Planck Institute for Human Cognitive and Brain Sciences
Ruthotto, Lars (author)
Emory University
Seif, Maryam (author)
University of Zurich
Weiskopf, Nikolaus (author)
Max Planck Institute for Human Cognitive and Brain Sciences
Ziegler, Gabriel (author)
Otto von Guericke University Magdeburg
Mohammadi, Siawoosh (author)
University Medical Center Hamburg-Eppendorf
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 (creator_code:org_t)
Elsevier BV, 2019
2019
English.
In: NeuroImage. - : Elsevier BV. - 1095-9572 .- 1053-8119. ; 194, s. 191-210
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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 and , proton density and magnetisation transfer 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)
NATURVETENSKAP  -- Fysik -- Annan fysik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences -- Other Physics Topics (hsv//eng)

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