DICOM datasets for reproducible neuroimaging research across manufacturers and software versions - Scientific Data
Summary
The article describes a curated set of DICOM validation datasets for neuroimaging research. It explains how DICOM and BIDS store imaging metadata differently and why those differences matter for reproducible workflows. It highlights manufacturer-specific behaviors, missing acquisition fields, and private tags that can complicate conversion and analysis. The piece also shows how these datasets help identify standardization gaps, tool limitations, and interoperability issues across imaging systems.
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