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Abcdspec-compliant Run on Brainlife.io

Noddi Matlab

This app will fit the NODDI model (Zhang et al, 2012) using the original matlab package.

Authors

Contributors

Funding Acknowledgement

brainlife.io is publicly funded and for the sustainability of the project it is helpful to Acknowledge the use of the platform. We kindly ask that you acknowledge the funding below in your publications and code reusing this code.

NSF-BCS-1734853 NSF-BCS-1636893 NSF-ACI-1916518 NSF-IIS-1912270 NIH-NIBIB-R01EB029272

Citations

We kindly ask that you cite the following articles when publishing papers and code using this code.

  1. Avesani, P., McPherson, B., Hayashi, S. et al. The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Sci Data 6, 69 (2019). https://doi.org/10.1038/s41597-019-0073-y

  2. Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage. 2012 Jul 16;61(4):1000-16. doi: 10.1016/j.neuroimage.2012.03.072. Epub 2012 Mar 30. PMID: 22484410.

MIT Copyright (c) 2020 brainlife.io The University of Texas at Austin and Indiana University

Running the App

On Brainlife.io

You can submit this App online at https://doi.org/10.25663/brainlife.app.158 via the 'Execute' tab.

Running Locally (on your machine)

  1. git clone this repo

  2. Inside the cloned directory, create config.json with something like the following content with paths to your input files.

{
    "dwi": "/input/dwi/dwi.nii.gz",
    "bvecs": "/input/dwi/bvecs.nii.gz",
    "bvals": "/input/dwi/bvals.nii.gz",
    "mask": "/input/brainmask/mask.nii.gz"
}

Sample Datasets

You can download sample datasets from Brainlife using Brainlife CLI.

npm install -g brainlife
bl login
mkdir input
bl dataset download
  1. Launch the App by executing 'main'
./main

Output

The main output of this App is a NODDI datatype, containing the volume maps for neurite density index (ndi), orientation dispersion index (odi) and isotropic volume fraction (isovf).

Product.json

The secondary output of this app is product.json. This file allows web interfaces, DB and API calls on the results of the processing.

Dependencies

This App only requires singularity to run. If you don't have singularity, you will need to install following dependencies.

MIT Copyright (c) 2020 brainlife.io The University of Texas at Austin and Indiana University

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