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Example dataset for the hMRI toolbox.

Martina F Callaghan¹, Antoine Lutti², John Ashburner¹

¹Wellcome Centre for Human Neuroimaging, London, UK.

|July 13, 2019

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This summary is machine-generated.

The hMRI toolbox offers open-source quantitative magnetic resonance imaging (MRI) analysis. A freely available dataset using the multi-parameter mapping (MPM) protocol is provided for tutorial purposes.

Area of Science:

Neuroimaging
Medical Physics
Biomedical Engineering

Background:

Quantitative magnetic resonance imaging (MRI) provides valuable insights into tissue properties.
Accurate parameter mapping requires correction for scanner-induced field variations.
The hMRI toolbox facilitates advanced MRI data analysis.

Purpose of the Study:

To present a freely available dataset acquired using a comprehensive multi-parameter mapping (MPM) protocol.
To provide a tutorial resource for utilizing the hMRI toolbox for quantitative MRI analysis.
To support neuroscience and clinical research through open-source tools and data.

Main Methods:

Utilized the hMRI toolbox for processing quantitative MRI data.
Employed a multi-parameter mapping (MPM) protocol with calibration data.

Keywords:

Analysis tools Quantitative MRI hMRI hMRI toolbox qMRI qMRI software

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Acquired a dataset with a full MPM protocol, accounting for spatial field variations.

Main Results:

A complete dataset acquired with the full MPM protocol is now available.
The dataset is suitable for tutorial purposes, demonstrating hMRI toolbox functionality.
Instructions for dataset usage are available on the hMRI toolbox wiki.

Conclusions:

The hMRI toolbox enables robust quantitative MRI parameter mapping.
The release of this MPM dataset promotes reproducible research and learning in neuroimaging.
Open-source tools and datasets are crucial for advancing quantitative MRI applications.