DICOM datasets for reproducible neuroimaging research across manufacturers and software versions

DICOM datasets for reproducible neuroimaging research across manufacturers and software versions

Abstract DICOM is an industry-standard for medical imaging data targeted at interoperability across systems. This enables transfer, storage and processing of imaging data regardless of the manufacturer. Pragmatically, manufacturers often store detailed acquisition parameters in private rather than p...

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Main Authors: Christopher Rorden, Benoît Béranger, Hu Cheng, Matthew Clemence, Clément Debacker, Brice Fernandez, Yaroslav O. Halchenko, Michael P. Harms, Bharath Holla, Isaiah Innis, Joost P. A. Kuijer, Daniel Levitas, Krisanne Litinas, Jeffrey Luci, Roger Newman-Norlund, Scott Peltier, Wolfgang Rehwald, Robert I. Reid, Baxter Rogers, Christopher G. Schwarz, Jaemin Shin, Venkatasubramanian Ganesan, Sandeep Ganji, Paul S. Morgan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05503-w
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https://doi.org/10.1038/s41597-025-05503-w

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