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Abstract #1048

MRI Raw Data Compression for long-term storage in large-scale population imaging

Philipp Ehses1, Marten Veldmann1, Yiming Dong1, and Tony Stöcker1
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

In the overwhelming majority of MRI studies, only the reconstructed images are stored and the raw data that was used during the reconstruction process is lost. However, routine raw data storage would potentially allow imaging studies that are conducted now to benefit from future improved image reconstruction techniques. Unfortunately, the raw data storage requirements are often prohibitive, especially in large-scale population studies. We developed a flexible software tool that achieves high lossy compression of MRI raw data and is able to decompress the data back to the vendor-specific format to allow for retrospective reconstruction using the vendor's reconstruction pipeline.

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