<- Back to Datasets

fastMRI

Large-scale database for reconstructing MRI scans

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.

View this Dataset
->
FACEBOOK AI
View author website
Task
Medical Images
Annotation Types
Semantic Segmentation
10000
Items
1500
Classes
10000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
Gain control of your training data
15,000+ ML engineers can’t be wrong