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Abstract #3425

mridata.org: An Open Archive for Sharing MRI Raw Data

Frank Ong1, Shahab Amin1, Shreyas Vasanawala2, and Michael Lustig1

1University of California, Berkeley, Berkeley, CA, United States, 2Radiology Department, Stanford University, Stanford, CA, United States

Current machine learning techniques for image reconstruction require large number of datasets for training, yet the number of public MRI raw datasets is limited. We present mridata.org as an open archive for researchers to share their MRI raw data. The website is designed to facilitate sharing MRI datasets, with features including automatic ISMRMRD conversion from uploaded vendor specific files. We hope that with contributions from many researchers, this website can provide more datasets to train and validate machine learning models for MRI reconstruction.

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