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} }
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.
13 Citations
qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data
- BiologymedRxiv
- 2021
The BIDS Extension Proposal 001 (BEP001) is presented, which adds a range of quantitative MRI (qMRI) applications to the BIDS, and envision standardization of qMRI which makes multicenter dissemination of interoperable data possible.
Fast Open-Source Toolkit for Water T2 Mapping in the Presence of Fat From Multi-Echo Spin-Echo Acquisitions for Muscle MRI
- MedicineFrontiers in Neurology
- 2021
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
- PhysicsArXiv
- 2022
Magnetic Resonance cardiac diffusion tensor imaging (cDTI) and cardiac intravoxel incoherent motion imaging enables probing of in vivo myofiber architecture and myocardial perfusion surrogates. To…
Evaluation of interrater reliability of different muscle segmentation techniques in diffusion tensor imaging
- BiologyNMR in biomedicine
- 2020
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
- MedicineEuropean Radiology
- 2022
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
- MedicineDiagnostics
- 2021
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
- BiologyFrontiers in Neurology
- 2021
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
- Physics, MedicineMagnetic resonance in medicine
- 2021
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.
A diffusion tensor-based method facilitating volumetric assessment of fiber orientations in skeletal muscle
- MedicinePloS one
- 2022
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.
PCA denoising and Wiener deconvolution of 31P 3D CSI data to enhance effective SNR and improve point spread function
- GeologyMagnetic resonance in medicine
- 2021
This study evaluates the performance of 2 processing methods, that is, principal component analysis‐based denoising and Wiener deconvolution, to enhance the quality of phosphorus 3D chemical shift…
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