fastMRI

by Jure Zbontar,Florian Knoll,Anuroop Sriram,Tullie Murrell,Zhengnan Huang,Matthew J. Muckley,Aaron Defazio,Ruben Stern,Patricia Johnson,Mary Bruno,Marc Parente,Krzysztof J. Geras,Joe Katsnelson,Hersh Chandarana,Zizhao Zhang,Michal Drozdzal,Adriana Romero,Michael Rabbat,Pascal Vincent,Nafissa Yakubova,James Pinkerton,Duo Wang,Erich Owens,C. Lawrence Zitnick,Michael P. Recht,Daniel K. Sodickson,Yvonne W. LuiResearch Only

fastMRI

The anonymized imaging dataset provided by NYU Langone comprises raw k-space data from more than 1,500 fully sampled knee MRIs obtained on 3 and 1.5 Tesla magnets and DICOM images from 10,000 clinical knee MRIs also obtained at 3 or 1.5 Tesla. Curation of these datasets are part of an IRB approved study. The raw dataset includes coronal proton density-weighted images with and without fat suppression. The DICOM dataset contains coronal proton density-weighted with and without fat suppression, axial proton density-weighted with fat suppression, sagittal proton density, and sagittal T2-weighted with fat suppression. Raw and DICOM data have been anonymized via conversion to the vendor-neutral ISMRMD format and the RSNA clinical trial processor, respectively. We also performed manual inspection of each DICOM image for the presence of any unexpected protected health information (PHI), with spot checking of both metadata and image content.

Dataset Attributes

Label SVG
TasksImage reconstruction
Label SVG
CategoriesMris