Computational Magnetic Resonance Imaging

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Published February 6, 2020 | Version v1
Dataset Open

Dynamic Contrast Enhanced MRI Raw Data Acquired with 3D Cones Trajectory

Authors/Creators

  • 1. Electrical Engineering, Stanford University
  • 2. UC Berkeley-UCSF Graduate Program in Bioengineering
  • 3. Radiology, Stanford University
  • 4. Medical Physics/Radiology, University of Wisconsin, Madison
  • 5. Radiology and Biomedical Imaging, University of California, San Francisco
  • 6. Electrical Engineering and Computer Sciences, University of California, Berkeley

Description

This repository contains the raw data for the second dynamic contrast enhanced (DCE) MRI in Extreme MRI: Large-Scale Volumetric Dynamic Imaging from Continuous Non-Gated Acquisitions. The data is stored as numpy arrays, containing k-space data (ksp.npy), coordinates (coord.npy), and density compensation factors (dcf.npy). Code to process and reconstruct the data is available here: https://github.com/mikgroup/extreme_mri

For more information about how the data is acquired, please see the linked paper.

Files

Files (3.3 GB)

Name Size
md5:fff45da0d6b018f1e57e574c3b971a17
357.2 MB Download
md5:8687b4c63b5b8dcf48a43fc1171988fb
119.1 MB Download
md5:3841763c47852a8c9235bed2d2fffffa
2.9 GB Download

Additional details

References

  • Dataset associated with arXiv:1909.13482