Published December 11, 2019
| Version 1.0.1
Dataset
Open
SpatialCalibration MR 2D Sagittal
- 1. University College London
- 2. CSIRO
Description
Included are:
- vendor-reconstructed DICOM images in NIfTI format (dicom_as_nifti.nii)
- the scanner raw MR data (meas_MID00749_FID151779_t2_tse_sag.dat)
- the raw MR data in h5 format, converted using siemens_to_ismrmrd (meas_MID00749_FID151779_t2_tse_sag.h5)
- the MR data reconstructed with SIRF in .h5 format (SIRF_recon.h5)
- the MR data reconstructed with SIRF that has been converted to NIfTI format (SIRF_recon.nii)
- the script used to generate the data (SIRF_recon.sh)
Notes
Files
Files
(299.6 MB)
Name | Size | Download all |
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md5:c5f5b519e5c032560ead912713479b53
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16.3 MB | Download |
md5:ad53194707006e6a8147464f5f2daa18
|
107.5 MB | Download |
md5:0b19db8c2c5047381b82e161de5e5639
|
110.9 MB | Download |
md5:0d69892502d3a5cd220716a717cc2c26
|
32.5 MB | Download |
md5:56bba74d28e8edb5048b4a54977f5b1a
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32.5 MB | Download |
md5:11b84fd1060cb470720d813dc8304cf2
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2.0 kB | Download |
Additional details
Funding
- A framework for efficient synergistic spatiotemporal reconstruction of PET-MR dynamic data EP/P022200/1
- UK Research and Innovation