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

Published February 6, 2020 | Version v2

Dataset Open

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

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

Name	Size	Download all
coord.npy md5:fff45da0d6b018f1e57e574c3b971a17	357.2 MB	Download
dcf.npy md5:8687b4c63b5b8dcf48a43fc1171988fb	119.1 MB	Download
ksp.npy md5:3841763c47852a8c9235bed2d2fffffa	2.9 GB	Download
thumbnail.png md5:745d4d1bec3bd9c3cf9fc327dc0c79f1	115.4 kB	Preview Download