fastMRI
- Description
This deidentified imaging dataset is comprised of raw k-space data in several sub-dataset groups. Raw and DICOM data have been deidentified via conversion to the vendor-neutral ISMRMRD format and the RSNA Clinical Trial Processor, respectively. Manual inspection of each DICOM image was also performed to check for the presence of any unexpected protected health information (PHI), with spot checking of both metadata and image content.
Knee MRI: 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. 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.
Brain MRI: Data from 6,970 fully sampled brain MRIs obtained on 3 and 1.5 Tesla magnets. The raw dataset includes axial T1 weighted, T2 weighted and FLAIR images. Some of the T1 weighted acquisitions included admissions of contrast agent.
Additional information on file structure, data loader, and transforms are available on GitHub.
Prostate MRI: Data obtained on 3 Tesla magnets from 312 male patients referred for clinical prostate MRI exams. The raw dataset includes axial T2-weighted and axial diffusion-weighted images for each of the 312 exams.
Access
- Restrictions
-
Free to AllApplication Required
- Instructions
- To access the dataset, researchers must agree to all terms in the Dataset Sharing Agreement and submit an online application form. The application must include the investigator’s institutional affiliation and the proposed use of the data. NYU fastMRI data may be used for internal research or educational purposes only as described in the Dataset Sharing Agreement and may not be redistributed in any way without prior permission.
- Grant Support
- Other Resources
-
fastMRI Data and Models
Supporting materials on GitHub
fastMRI Prostate Data and CodeCode to facilitate the reconstruction of prostate T2 and DWI (Diffusion-Weighted Imaging) images
Registry of Open Data on AWSMore information about the dataset