One Hundred Knee MRI Cases

The 100 cases comprise five 20-case sets for each of the following sequences: (from left) coronal spin density weighted with fat supression, coronal spin density weighted without fat suppression, axial T2 weighted with fat suppression, saggital T2 weighted with fat suppression, and sagittal spin density weighted.

 

We are making available the training and test data used for our 2018 MRM article, Learning a Variational Network for Reconstruction of Accelerated MRI Data.*

The 100 cases comprise five sequences, 20 cases each.

The data set accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork

There are 20 cases from each of the following five sequences:

  • coronal spin density weighted with fat suppression
  • coronal spin density weighted without fat suppression
  • axial T2 weighted with fat suppression
  • sagittal T2 weighted with fat suppression
  • sagittal spin density weighted

The data are organized slice by slice, and consist of two files:

  • rawdata*.mat:
    The rawdata and some additional metadata variables (the acquisition includes phase oversampling and a rectangular field of view, see example matlab reconstruction script)
  • espirit*.mat:
    ESPIRiT [1] coil sensitivity maps and a reference reconstruction

In addition, the parallel imaging subsampling mask that was used for some of the experiments in our manuscript is included in a separate folder for the data of each sequence.

* This is a joint project with Thomas Pock's vision, learning, and optimization group at the Institute of Computer Graphics and Vision at Graz University of Technology.

Download Data
via Globus


Related publications:


Footnotes:

[1] Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M. ESPIRiT–an eigenvalue approach to auto- calibrating parallel MRI: where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71:990–1001 (2014).


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08/13/2018 - 14:41
08/01/2018 - 15:48
07/16/2018 - 13:43

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Medical Center from:
 
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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