Summary

These quality assessment results were generated for TCGA-GBM subjects for whom a T1-weighted POST sequence in the axial plane was available, resulting in a cohort of n=133 T1-POST MRI scans accrued from 7 different sites. All 133 T1-POST studies were downloaded as DICOM files from TCIA and then processed via MRQy to compute quality measures for (a) interrogating the presence of site- or equipment-specific variations within a cohort, and (b) quantifying the impact of MRI artifacts to determine what pre-analytical corrections are needed. The MRQy output can be easily interrogated via the associated HTML5 based front-end, allowing for real-time filtering and visualization. MRQy is available for download at: http://github.com/ccipd/MRQy

Acknowledgements

Research reported in this publication was supported by:



Data Access

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TCGA-GBM Images (DICOM)

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MRQy results (XLS)

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Detailed Description

The spreadsheet provided is a subset of data from the TCGA-GBM collection. To download the data, please visit the collection page and follow the instructions under the Data Access tab. If you have any questions or issues, please contact help@cancerimagingarchive.net  with any questions regarding usage.


Citations & Data Usage Policy

Sadri, A. R., Janowczyk, A., Verma, R., Antunes, J., Madabhushi, A., Tiwari, P., & Viswanath, S. E. MRQy quality measures for TCGA-GBM MRI datasets. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2020.JHZ2-T694


Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7

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Version 1 (Current): Updated 2020/04/06

Data Type Download all or Query/Filter
TCGA-GBM Images (DICOM)

MRQy results (XLS)