Hyperpolarized (HP) 13C MRI has shown promise as a valuable modality for in vivo measurements of metabolism, and is currently in human trials at over 15 human research sites worldwide. It is important to adopt standardized data storage practices as it will allow sites to meaningfully compare data. We propose using specific Attributes in DICOM format, including “Contrast Agents”, and provide a Python based implementation to add these values for individual studies. Moreover, we propose best practices for HP 13C MRI data storage that will support future multi-site trials and research studies and technical developments of this imaging technique.
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Diaz et al. (2024) studied this question.
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