QMRTools: a Mathematica toolbox for quantitative MRI analysis

@article{Froeling2019QMRToolsAM,
  title={QMRTools: a Mathematica toolbox for quantitative MRI analysis},
  author={M. Froeling},
  journal={J. Open Source Softw.},
  year={2019},
  volume={4},
  pages={1204}
}
  • M. Froeling
  • Published 11 June 2019
  • Biology
  • J. Open Source Softw.
QMRITools is written in Mathematica using Wolfram Workbench and Eclipse and contains a collection of tools and functions for processing quantitative magnetic resonace imaging (qMRI) data. The toolbox does not provide a GUI and its primary goal is to allow for fast and batch data processing, and facilitate development and prototyping of new functions. The core of the toolbox contains various functions for data manipulation and restructuring. 
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14 Citations
Background Citations
2
Methods Citations
4

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14 Citations

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Fast Open-Source Toolkit for Water T2 Mapping in the Presence of Fat From Multi-Echo Spin-Echo Acquisitions for Muscle MRI
TLDR
The proposed software can successfully be used to calculate wT2 maps from conventional MESE acquisition, allowing the usage of an optimized protocol with similar precision and accuracy as a 17-echo acquisition.
MRXCAT-CDTI: A Numerical Cardiac Diffusion Tensor Imaging Phantom
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Evaluation of interrater reliability of different muscle segmentation techniques in diffusion tensor imaging
TLDR
Muscle diffusion tensor imaging is a quantitative MRI technique that can provide information about muscular microstructure and integrity and methods such as volume‐based tractography have been applied to optimize muscle architecture estimation.
Quantitative water T2 relaxometry in the early detection of neuromuscular diseases: a retrospective biopsy-controlled analysis
TLDR
Quantitative water T2 relaxometry is more sensitive than subjective assessment of fat-suppressed T2- Weighted images for the early detection of neuromuscular diseases, prior to late-stage fatty infiltration signal alternations in T1-weighted images.
High Inter-Rater Reliability of Manual Segmentation and Volume-Based Tractography in Healthy and Dystrophic Human Calf Muscle
TLDR
Both segmentation techniques can be used in the evaluation of DTI metrics in healthy controls and different NMD with low rater dependency and high precision but differ significantly from each other, indicating that the same segmentation protocol must be used to ensure comparability of mDTI data.
Diffusion Tensor Imaging of Skeletal Muscle Contraction Using Oscillating Gradient Spin Echo
TLDR
Preliminary results indicate that DTI with OGSE diffusion encoding is feasible in human musculature and allows to quantitatively assess diffusion properties in actively contracting skeletal muscle.
Residual quadrupolar couplings observed in 7 Tesla deuterium MR spectra of skeletal muscle
TLDR
The effect of incomplete motional averaging on the naturally abundant deuterated water signal in 7 Tesla deuterium spectra of the lower leg muscles and the dependence on the angle between the muscle fibers and the main magnetic field B0, as determined by DTI are investigated.
Visualization of human optic nerve and tract by diffusion tensor mapping and degree of neuropathy
TLDR
This method provides a quantification of the degree of optic nerve atrophy in a systematic way and shows marked differences between a healthy male subject and a male subject with progressive optic nerve neuropathy, differences that are otherwise not visible on standard morphological images or scalar diffusion maps.
A diffusion tensor-based method facilitating volumetric assessment of fiber orientations in skeletal muscle
TLDR
A DTI-based method to quantitatively assess fiber angles and changes therein in leg muscles in order to facilitate longitudinal studies on muscle fiber architectural adaptations in healthy subjects is developed.
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