Peer-Reviewed Publication
Front Neuroinform2016;1035.January 1, 2016Journal Article
MINC 2.0: A Flexible Format for Multi-Modal Images.
Robert D Vincent1, Peter Neelin2, Najmeh Khalili-Mahani1, Andrew L Janke3, Vladimir S Fonov1, Steven M Robbins1, Leila Baghdadi4, Jason Lerch5, John G Sled5, Reza Adalat1, David MacDonald6, Alex P Zijdenbos7, D Louis Collins8, Alan C Evans1
1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University Montreal, QC, Canada.
2Intelerad Medical Systems Montreal, QC, Canada.
3Center for Advanced Imaging, The University of Queensland Brisbane, QLD, Australia.
4Mouse Imaging Centre, The Hospital for Sick Children Toronto, ON, Canada.
5Mouse Imaging Centre, The Hospital for Sick ChildrenToronto, ON, Canada; Department of Medical Biophysics, University of TorontoToronto, ON, Canada.
6Autodesk Inc. Montreal, QC, Canada.
7Biospective Inc. Montreal, QC, Canada.
8McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill UniversityMontreal, QC, Canada; Department of Biomedical Engineering, McGill UniversityMontreal, QC, Canada.
Abstract
It is often useful that an imaging data format can afford rich metadata, be flexible, scale to very large file sizes, support multi-modal data, and have strong inbuilt mechanisms for data provenance. Beginning in 1992, MINC was developed as a system for flexible, self-documenting representation of neuroscientific imaging data with arbitrary orientation and dimensionality. The MINC system incorpora…
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