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Related Experiment Video

Updated: Mar 15, 2026

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MINC 2.0: A Flexible Format for Multi-Modal Images.

Robert D Vincent1, Peter Neelin2, Najmeh Khalili-Mahani1

  • 1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University Montreal, QC, Canada.

Frontiers in Neuroinformatics
|August 27, 2016
PubMed
Summary

The Medical Imaging NetCDF (MINC) format offers flexible, self-documenting neuroimaging data storage. MINC 2.0 enhances this with large file support and detailed provenance for research databases.

Keywords:
HDF5data formatdata managementmetadataneuroimagingprovenance

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Area of Science:

  • Neuroimaging
  • Data Science
  • Computer Science

Background:

  • Neuroscientific imaging data requires formats that are flexible, scalable, and support rich metadata.
  • Data provenance is crucial for reproducibility and managing large-scale studies.
  • Existing formats may lack comprehensive features for complex neuroimaging data.

Purpose of the Study:

  • To describe the evolution and features of the Medical Imaging NetCDF (MINC) format.
  • To highlight MINC's suitability for neuroscientific imaging data management and provenance tracking.
  • To showcase the advantages of MINC 2.0 for modern research needs.

Main Methods:

  • Development of the MINC system, including file format, programming library, and tools.
  • Introduction of MINC 2.0 with support for 64-bit file sizes and internal compression.
  • Incorporation of explicit processing history, unique identifiers, and scanner settings in metadata.

Main Results:

  • MINC provides a flexible, self-documenting system for neuroimaging data.
  • MINC 2.0 offers enhanced features for large file sizes and data compression.
  • The format's extensible design facilitates robust data provenance tracking.

Conclusions:

  • MINC is an ideal format for large-scale neuroimaging studies and databases.
  • Its design supports adaptability to new scanning sequences and modalities.
  • MINC ensures rich metadata and strong data provenance for neuroscientific research.