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 2019
  • Computer Science
  • 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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References

SHOWING 1-10 OF 27 REFERENCES
Restoration of DWI Data Using a Rician LMMSE Estimator
  • 142
  • PDF
Muscle changes detected with diffusion-tensor imaging after long-distance running.
  • 84
Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging
  • 1,431
  • PDF
Denoising of diffusion MRI using random matrix theory
  • 444
Whole heart DTI using asymmetric bipolar diffusion gradients
  • 18
elastix: A Toolbox for Intensity-Based Medical Image Registration
  • 2,501
  • PDF
Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling
  • 85
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
  • 302
  • PDF
“MASSIVE” brain dataset: Multiple acquisitions for standardization of structural imaging validation and evaluation
  • 38
  • PDF
REKINDLE: Robust extraction of kurtosis INDices with linear estimation
  • 93
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