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IronTract Challenge – Public dMRI Data

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@data-hcp data-hcp released this 29 Jun 20:37
001289
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This dataset provides public diffusion MRI data from the IronTract Challenge, a community challenge designed to evaluate methods for reconstructing white matter pathways from diffusion MRI tractography.

The challenge uses macaque brain data with tracer-based anatomical reference information, enabling quantitative assessment of tractography accuracy. The dataset is intended as a validation and benchmarking resource for diffusion MRI reconstruction, tractography, and connectome analysis methods.

  • Source: https://dandiarchive.org/dandiset/001289
  • DANDI ID: 001289
  • Status: Draft
  • Data standard: Brain Imaging Data Structure (BIDS)
  • Access: Open access
  • License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Dataset Overview

  • Dataset name: IronTract Challenge - Public dMRI data
  • Subjects: 2
  • Samples: 1
  • File count: 17
  • Dataset size: ~991.6 MB
  • Primary modality: Diffusion MRI
  • Additional data: Tracer injection masks registered to diffusion MRI space

Background

The IronTract Challenge was developed to study how different diffusion MRI analysis methods recover known anatomical pathways.

The challenge is based on macaque brains with:

  • High-resolution ex vivo diffusion MRI
  • Multi-shell diffusion acquisitions
  • Cartesian-grid diffusion spectrum imaging (DSI)
  • Tracer injection information used as anatomical reference data

This design allows users to compare tractography results against independent anatomical tracing information.

Data Contents

The current DANDI release includes diffusion MRI derivatives and associated gradient information for two subjects:

  • sub-MR243
  • sub-MR256

Diffusion MRI files

For each subject, the dataset includes:

  • Multi-shell diffusion MRI data
  • DSI diffusion MRI data
  • Corresponding bvals
  • Corresponding bvecs

Example file types:

*_acq-MulShell_desc-DWImasked.nii.gz
*_acq-MulShell.bvals
*_acq-MulShell.bvecs

*_acq-DSI_desc-DWImasked.nii.gz
*_acq-DSI.bvals
*_acq-DSI.bvecs

Tracer injection masks

The dataset also includes tracer injection masks in diffusion MRI space:

derivatives/micr/sub-MR243/*_stain-FS_space-dwi_desc-injection.nii.gz
derivatives/micr/sub-MR256/*_stain-LY_space-dwi_desc-injection.nii.gz

These files provide anatomical reference information for tractography validation.

Suggested Uses

This dataset is useful for:

  • Validating tractography methods
  • Comparing multi-shell and DSI reconstruction strategies
  • Testing diffusion MRI preprocessing pipelines
  • Evaluating false positive and false negative tractography results
  • Developing post-processing methods for streamline filtering
  • Benchmarking connectome reconstruction workflows

Data Access

The dataset can be accessed from DANDI:

https://dandiarchive.org/dandiset/001289

Using the DANDI CLI:

dandi download DANDI:001289/draft

License

This dataset is released under:

Creative Commons Attribution 4.0 International (CC BY 4.0)

This license permits sharing, reuse, and adaptation, including commercial use, provided that appropriate attribution is given.

License text:

https://creativecommons.org/licenses/by/4.0/

Citation

Please cite the original IronTract Challenge publication when using this dataset:

Maffei C. et al.
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
NeuroImage 257:119327, 2022.
https://doi.org/10.1016/j.neuroimage.2022.119327

Please also cite the DANDI source:

IronTract Challenge - Public dMRI data.
DANDI Archive.
https://dandiarchive.org/dandiset/001289

Contact

DANDI contact listed for this dataset:

  • Kabilar Gunalan

Contributor listed on DANDI:

  • Anastasia Yendiki

Notes

This Dandiset is currently listed as a draft release on DANDI. Users should check the DANDI page for updates, publication status, and any future versioned releases before citing or redistributing derived data.

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