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Published February 18, 2020 | Version v1
Dataset Open

Lung MRI Raw Data Acquired with 3D UTE Radial Trajectory

  • 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 lung MRI result 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 (4.0 GB)

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md5:e75cd0f5b2d953695c30e44383f3a83b
594.6 MB Download
md5:563dd2933c83839eb2087440aa07cd1b
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md5:0f9df222388db787cc050e909d874629
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